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Publications (10 of 317) Show all publications
Amin, S., Landin, P. N., Händel, P. & Rönnow, D. (2017). 2D Extended envelope memory polynomial model for concurrent dual-band RF transmitters. International journal of microwave and wireless technologies, 9(8), 1619-1627
Open this publication in new window or tab >>2D Extended envelope memory polynomial model for concurrent dual-band RF transmitters
2017 (English)In: International journal of microwave and wireless technologies, ISSN 1759-0795, E-ISSN 1759-0787, Vol. 9, no 8, p. 1619-1627Article in journal (Refereed) Published
Abstract [en]

The paper presents a two-dimensional (2D) extended envelope memory polynomial model for concurrent dual-band radio frequency (RF) power amplifiers (PAs). The model is derived based on the physical knowledge of a dual-band RF PA. The derived model contains cross-modulation terms not included in previously published models; these terms are found to be of importance for both behavioral modeling and digital predistortion (DPD). The performance of the derived model is evaluated both as the behavioral model and DPD, and the performance is compared with state-of-the-art 2D-DPD and dual-band generalized memory polynomial (DB-GMP) models. Experimental result shows that the proposed model resulted in normalized mean square error of -51.7/-51.6 dB and adjacent channel error power ratio of -63.1/-63.4 dB, for channel 1/2, whereas the 2D-DPD resulted in the largest model error and DB-GMP resulted in model parameters that are three times more than those resulted with the proposed model with the same performance. As pre-distorter, the proposed model resulted in adjacent channel power ratio of -55.8/-54.6 dB for channel 1/2 and is 7-10 dB lower than those resulted with the 2D-DPD model and 2-4 dB lower compared with the DB-GMP model.

Place, publisher, year, edition, pages
Cambridge University Press, 2017
Keywords
Power Amplifiers, RF Front-ends, Behavioral modeling and digital predistortion of multi-band amplifiers
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-221397 (URN)10.1017/S1759078717000277 (DOI)000418998100010 ()2-s2.0-85018373558 (Scopus ID)
Note

QC 20180117

Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-01-17Bibliographically approved
Khan, Z. A., Händel, P. & Isaksson, M. (2017). A Comparative Analysis of the Complexity/Accuracy Tradeoff in the Mitigation of RF MIMO Transmitter Impairments. In: 89th ARFTG Microwave Measurement Conference: Advanced Technologies for Communications, ARFTG 2017: . Paper presented at 89th ARFTG Microwave Measurement Conference, ARFTG 2017; Ala Moana Hotel, Honolulu; United States; 9 June 2017 through. Institute of Electrical and Electronics Engineers (IEEE), Article ID 8000827.
Open this publication in new window or tab >>A Comparative Analysis of the Complexity/Accuracy Tradeoff in the Mitigation of RF MIMO Transmitter Impairments
2017 (English)In: 89th ARFTG Microwave Measurement Conference: Advanced Technologies for Communications, ARFTG 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, article id 8000827Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a comparative analysis of the complexity accuracy tradeoff in state-of-the-art RF MIMO transmitter mitigation models. The complexity and accuracy of the candidate models depends on the basis functions considered in these models. Therefore, a brief description of the mitigation models is presented accompanied by derivations of the model complexities in terms of the number of FLOPs. Consequently, the complexity accuracy tradeoff in the candidate models is evaluated for a 2 × 2 RF MIMO transmitter. Furthermore, the model complexities are analyzed for increasing nonlinear orders and number of antennas.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-210023 (URN)10.1109/ARFTG.2017.8000827 (DOI)2-s2.0-85030244336 (Scopus ID)9781538627471 (ISBN)
Conference
89th ARFTG Microwave Measurement Conference, ARFTG 2017; Ala Moana Hotel, Honolulu; United States; 9 June 2017 through
Note

QC 20170628

Available from: 2017-06-27 Created: 2017-06-27 Last updated: 2017-11-30Bibliographically approved
Wahlström, J., Skog, I., Händel, P., Khosrow-Khavar, F., Tavakolian, K., Stein, P. K. & Nehorai, A. (2017). A Hidden Markov Model for Seismocardiography. IEEE Transactions on Biomedical Engineering, 64(10), 2361-2372
Open this publication in new window or tab >>A Hidden Markov Model for Seismocardiography
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2017 (English)In: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 64, no 10, p. 2361-2372Article in journal (Refereed) Published
Abstract [en]

We propose a hidden Markov model approach for processing seismocardiograms. The seismocardiogram morphology is learned using the expectation-maximization algorithm, and the state of the heart at a given time instant is estimated by the Viterbi algorithm. From the obtained Viterbi sequence, it is then straightforward to estimate instantaneous heart rate, heart rate variability measures, and cardiac time intervals (the latter requiring a small number of manual annotations). As is shown in the conducted experimental study, the presented algorithm outperforms the state-of-the-art in seismocardiogram-based heart rate and heart rate variability estimation. Moreover, the isovolumic contraction time and the left ventricular ejection time are estimated with mean absolute errors of about 5 [ms] and 9 [ms], respectively. The proposed algorithm can be applied to any set of inertial sensors; does not require access to any additional sensor modalities; does not make any assumptions on the seismocardiogram morphology; and explicitly models sensor noise and beat-to-beat variations (both in amplitude and temporal scaling) in the seismocardiogram morphology. As such, it is well suited for low-cost implementations using off-the-shelf inertial sensors and targeting, e.g., at-home medical services.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017
Keywords
Cardiac time intervals, heart rate variability (HRV), hidden Markov model (HMM), seismocardiogram (SCG)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-215801 (URN)10.1109/TBME.2017.2648741 (DOI)000411585100006 ()28092512 (PubMedID)2-s2.0-85026447100 (Scopus ID)
Note

QC 20171018

Available from: 2017-10-18 Created: 2017-10-18 Last updated: 2017-10-18Bibliographically approved
Pasku, V., De Angelis, A., Moschitta, A., Carbone, P., Nilsson, J.-O., Dwivedi, S. & Händel, P. (2017). A Magnetic Ranging-Aided Dead-Reckoning Positioning System for Pedestrian Applications. Paper presented at IEEE International Instrumentation and Measurement Technology Conference (I2MTC), MAY 23-26, 2016, Taipei, TAIWAN. IEEE Transactions on Instrumentation and Measurement, 66(5), 953-963
Open this publication in new window or tab >>A Magnetic Ranging-Aided Dead-Reckoning Positioning System for Pedestrian Applications
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2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 5, p. 953-963Article in journal (Refereed) Published
Abstract [en]

This paper investigates the applicability of a developed Magnetic Positioning System (MPS) as a support for a dead-reckoning inertial navigation system (DR-INS) for pedestrian applications. The integrated system combines the complementary properties of the separate systems, operating over long periods of time and in cluttered indoor areas with partial nonline-of-sight conditions. The obtained results show that the proposed approach can effectively improve the coverage area of the MPS and the operation time with bounded errors of the DR-INS. In particular, a solution that provides bounded position errors of 1-2 m over significantly long periods of time up to 45 min, in realistic indoor environments, is demonstrated. Moreover, system applicability is also shown in those scenarios where arbitrary orientations of the MPS mobile node are considered and an MPS position estimate is not available due to less than three distance measurements.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Dead reckoning (DR), indoor positioning, inertial navigation, magnetic fields, range measurement, resonators
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-208236 (URN)10.1109/TIM.2017.2649918 (DOI)000399246000012 ()2-s2.0-85011295568 (Scopus ID)
Conference
IEEE International Instrumentation and Measurement Technology Conference (I2MTC), MAY 23-26, 2016, Taipei, TAIWAN
Funder
VINNOVA
Note

QC 20170628

Available from: 2017-06-28 Created: 2017-06-28 Last updated: 2017-06-28Bibliographically approved
Alizadeh Khameneh, M. A., Rönnow, D., Händel, P. & Isaksson, M. (2017). A new Block-Structure Modeling Technique for RF Power Amplifiers in a 2x2 MIMO System. In: Milovanovic, BD Doncov, NS Stankovic, ZZ Dimitrijevic, TZ (Ed.), 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2017 - Proceeding: . Paper presented at 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Nis, Serbia; OCT 18-20, 2017 (pp. 224-227). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>A new Block-Structure Modeling Technique for RF Power Amplifiers in a 2x2 MIMO System
2017 (English)In: 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2017 - Proceeding / [ed] Milovanovic, BD Doncov, NS Stankovic, ZZ Dimitrijevic, TZ, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 224-227Conference paper, Published paper (Refereed)
Abstract [en]

A new block-structure behavioral model is proposed for radio frequency power amplifiers in a 2x2 multiple-input multiple-output system including input cross-talk. The proposed model forms kernels of blocks of different nonlinear order that correspond to the significant frequency response of measured frequency domain Volterra kernels. The model can therefore well describe the input-output relationships of the nonlinear dynamic behavior of PAs. The proposed model outperforms conventional models in terms of model errors.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
Nonlinear dynamic RF power amplifier, Volterra kernels, MIMO system, block-structural model
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-224099 (URN)10.1109/TELSKS.2017.8246268 (DOI)000425463200046 ()2-s2.0-85045971319 (Scopus ID)9781538618004 (ISBN)
Conference
13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Nis, Serbia; OCT 18-20, 2017
Note

QC 20180314

Available from: 2018-03-14 Created: 2018-03-14 Last updated: 2018-06-04Bibliographically approved
Skog, I., Karagiannis, I., Bergsten, A. B., Harden, J., Gustafsson, L. & Händel, P. (2017). A Smart Sensor Node for the Internet-of-Elevators-Non-Invasive Condition and Fault Monitoring. IEEE Sensors Journal, 17(16), 5198-5208
Open this publication in new window or tab >>A Smart Sensor Node for the Internet-of-Elevators-Non-Invasive Condition and Fault Monitoring
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2017 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 17, no 16, p. 5198-5208Article in journal (Refereed) Published
Abstract [en]

The signal processing scheme of a smart sensor node for the Internet-of-Elevators is presented. The sensor node is a self-contained black box unit only requiring power to be supplied, which enables a cost efficient way to modernize existing elevator systems in terms of condition monitoring capabilities. The sensor node monitors the position of the elevator using an inertial navigation system in conjugation with a simultaneous localization and mapping framework. Features reflecting the elevator system's operation and health condition are calculated by evaluating the ride quality parameters defined by the ISO 18738-1 standards, the vibration versus frequency spectrum, and the vibration versus position spectrum. Abnormal stops are identified by detecting decelerations that deviate from the typical deceleration pattern of the elevator or when the stopping position of the elevator does not match the learned floor levels. Furthermore, the condition of the door system is monitored by tracking the magnetic field variations that the motion of the doors creates; the number of door openings and the time required for the doors to close are estimated. The capability and performance of the blacksignal processing scheme are illustrated through a series of experiments. The experiments show, inter alia, that using low-cost sensors similar to those in a smartphone, the position of the elevator car can, with 99.9% probability, be estimated with an error of less than 1 m for travels up to 43 s long. The experiments also indicate that small degradations in the doors' closing time can be detected from the magnetic field measurements.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Predictive maintenance, intelligent sensors, accelerometers, magnetometers
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-212073 (URN)10.1109/JSEN.2017.2719630 (DOI)000406310500022 ()
Note

QC 20170816

Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-08-16Bibliographically approved
Larsson, R., Skog, I. & Händel, P. (2017). Inertial Sensor Driven Smartphone and Automobile Coordinate System Alignment. In: 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC): . Paper presented at 20th IEEE International Conference on Intelligent Transportation Systems (ITSC), OCT 16-19, 2017, Yokohama, JAPAN. IEEE
Open this publication in new window or tab >>Inertial Sensor Driven Smartphone and Automobile Coordinate System Alignment
2017 (English)In: 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this study a method is presented for estimating the orientation of an inertial measurement unit (IMU) located within an automobile, using only the measurements from the IMU itself. The orientation estimation problem is posed as a non-linear filtering probletn, which is solved using a marginalized particle filter. The performance of the proposed method is evaluated using a large collection of real-world data, collected by multiple drivers. The drivers used their own smartphones and had no restrictions on smartphone handling during drives. The orientation accuracy achieved with the proposed method is in the order of a few degrees; 50% of cases were below 5 degrees and 90% of cases were below 20 degrees.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Intelligent Transportation Systems-ITSC, ISSN 2153-0009
Keywords
IMU alipunent, Smartphone sensors, Smart-phone telematics
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-230877 (URN)10.1109/ITSC.2017.8317592 (DOI)000432373000011 ()2-s2.0-85046288064 (Scopus ID)978-1-5386-1526-3 (ISBN)
Conference
20th IEEE International Conference on Intelligent Transportation Systems (ITSC), OCT 16-19, 2017, Yokohama, JAPAN
Note

QC 20180618

Available from: 2018-06-18 Created: 2018-06-18 Last updated: 2018-06-18Bibliographically approved
Yajnanarayana, V. & Händel, P. (2017). Joint Estimation of TOA and PPM Symbols Using Sub-Nyquist Sampled IR-UWB Signal. IEEE Communications Letters, 21(4), 949-952
Open this publication in new window or tab >>Joint Estimation of TOA and PPM Symbols Using Sub-Nyquist Sampled IR-UWB Signal
2017 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 21, no 4, p. 949-952Article in journal (Refereed) Published
Abstract [en]

Impulse radio ultra wideband (UWB) signals are used in various applications which require joint localization and communication. Due to the large bandwidth of the UWB signal, the estimation of time of arrival (TOA) and data symbols requires high sampling rates. This letter describes a sub-Nyquist rate receiver, which can jointly estimate TOA and data symbols. We first represent the received UWB signal in a new domain in which it is sparse. Then, we design physical layer waveforms and estimation algorithms to exploit this sparsity for joint estimation of TOA and pulse position modulation data symbols. The performance of the receiver is compared against the maximum likelihood (ML)-based receiver using an IEEE 802.15.4a CM1 line of sight UWB channel model. The proposed algorithm yields performance similar to the ML-based algorithms with only a fraction of sampling rate at high SNRs (> 25 dB).

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Time of arrival (TOA), ultra wideband (UWB), UWB ranging, compressive sampling, sparse signal processing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-208261 (URN)10.1109/LCOMM.2017.2650231 (DOI)000399388400066 ()2-s2.0-85018190129 (Scopus ID)
Note

QC 20170626

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-06-26Bibliographically approved
Khan, Z., Zenteno, E., Händel, P. & Isaksson, M. (2017). Multitene design for third order MIMO volterra kernels. In: 2017 IEEE MTT-S International Microwave Symposium (IMS): . Paper presented at 2017 IEEE MTT-S International Microwave Symposium, IMS 2017, Honololu, United States, 4 June 2017 through 9 June 2017 (pp. 1553-1556). Institute of Electrical and Electronics Engineers (IEEE), Article ID 8058925.
Open this publication in new window or tab >>Multitene design for third order MIMO volterra kernels
2017 (English)In: 2017 IEEE MTT-S International Microwave Symposium (IMS), Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1553-1556, article id 8058925Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a technique for designing multitone signals that can separate the third order multiple input multiple output (MIMO) Volterra kernels. Multitone signals fed to a MIMO Volterra system yield a spectrum that is a permutation of the sums of the input signal tones. This a priori knowledge is used to design multitone signals such that the output from the MIMO Volterra kernels does not overlap in the frequency domain, hence making it possible to separate these kernels from the output of the MIMO Volterra system. The proposed technique is applied to a 2×2 RF MIMO transmitter to determine its dominant hardware impairments. For input crosstalk, the proposed method reveals the dominant self and cross kernels whereas for output crosstalk, the proposed method reveals that only the self kernels are dominant.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Series
IEEE MTT-S International Microwave Symposium Digest, ISSN 0149-645X
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-218417 (URN)10.1109/MWSYM.2017.8058925 (DOI)000425241500419 ()2-s2.0-85032467119 (Scopus ID)9781509063604 (ISBN)
Conference
2017 IEEE MTT-S International Microwave Symposium, IMS 2017, Honololu, United States, 4 June 2017 through 9 June 2017
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2018-03-23Bibliographically approved
Khan, Z. A., Zenteno, E., Händel, P. & Isaksson, M. (2017). Multitone Design for Third Order MIMO Volterra Kernels. In: : . Paper presented at IEEE International Microwave Symposium, Hawaii,June 9th, 2017.
Open this publication in new window or tab >>Multitone Design for Third Order MIMO Volterra Kernels
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a technique for designing multitonesignals that can separate the third order multiple inputmultiple output (MIMO) Volterra kernels. Multitone signalsfed to a MIMO Volterra system yield a spectrum that is apermutation of the sums of the input signal tones. This a prioriknowledge is used to design multitone signals such that theoutput from the MIMO Volterra kernels does not overlap in thefrequency domain, hence making it possible to separate thesekernels from the output of the MIMO Volterra system. Theproposed technique is applied to a 2×2 RF MIMO transmitterto determine its dominant hardware impairments. For inputcrosstalk, the proposed method reveals the dominant self andcross kernels whereas for output crosstalk, the proposed methodreveals that only the self kernels are dominant.

National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-210019 (URN)
Conference
IEEE International Microwave Symposium, Hawaii,June 9th, 2017
Note

QC 20170628

Available from: 2017-06-27 Created: 2017-06-27 Last updated: 2017-06-28Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2718-0262

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