Joint time-space resource allocation and waveform selection for the collocated MIMO radar in multiple targets tracking

Abstract Compared with conventional phased array radar, the collocated MIMO radar can effectively control the transmitting beam width by means of sub-array division. Therefore, different targets may be illuminated simultaneously with one beam in the collocated MIMO radar, providing greater freedom degree in resource management. The joint time-space resource allocation and waveform selection optimization model for the collocated MIMO radar is proposed in this paper, where the objective function that takes both the system resource and tracking precision into consideration is minimized under the guarantee of effective targets detection. Through solving the proposed optimization model, the corresponding joint optimization algorithm is obtained. The optimal sampling period, sub-array number, illuminated targets set, transmitting energy and transmitting waveform parameters combination is chosen adaptively, where the former four realize the time-space resource allocation and the last one realizes the waveform selection. Simulation results demonstrate that the validity and effectiveness of the proposed algorithm.

[1]  Robin J. Evans,et al.  Optimal waveform selection for tracking systems , 1994, IEEE Trans. Inf. Theory.

[2]  William Dale Blair,et al.  Tracking performance of a phased array radar with revisit time controlled using the IMM algorithm , 1994, Proceedings of 1994 IEEE National Radar Conference.

[3]  R. J. Evans,et al.  Adaptive waveform selection for tracking in clutter , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[4]  Rama Komaragiri,et al.  Heart rate monitoring and therapeutic devices: A wavelet transform based approach for the modeling and classification of congestive heart failure. , 2018, ISA transactions.

[5]  P. Stoica,et al.  MIMO Radar Signal Processing , 2008 .

[6]  Wei Yi,et al.  Joint node selection and power allocation for multitarget tracking in decentralized radar networks , 2016, 2016 19th International Conference on Information Fusion (FUSION).

[7]  Marco Lops,et al.  Resource allocation in radar networks for non-coherent localization , 2012 .

[8]  Zheng Bao,et al.  Power Allocation Algorithm for Target Tracking in Unmodulated Continuous Wave Radar Network , 2015, IEEE Sensors Journal.

[9]  S. Howard,et al.  Waveform Libraries , 2009, IEEE Signal Processing Magazine.

[10]  Jun Tang,et al.  A new electronic reconnaissance technology for MIMO radar , 2011, Proceedings of 2011 IEEE CIE International Conference on Radar.

[11]  Rama Komaragiri,et al.  Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems , 2018, Journal of Medical Systems.

[12]  Jie Zhang,et al.  Adaptive resource management in multiple targets tracking for co‐located multiple input multiple output radar , 2018, IET Radar, Sonar & Navigation.

[13]  Gongjian Zhou,et al.  Statically Fused Converted Position and Doppler Measurement Kalman Filters , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[14]  Wei Yi,et al.  An adaptive resource allocation strategy for multiple target tracking with different performance requirements , 2018, 2018 IEEE Radar Conference (RadarConf18).

[15]  Robin J. Evans,et al.  Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking , 2001, IEEE Trans. Signal Process..

[16]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[17]  Darryl Morrell,et al.  Dynamic Configuration of Time-Varying Waveforms for Agile Sensing and Tracking in Clutter , 2007, IEEE Transactions on Signal Processing.

[18]  R.J. Evans,et al.  Waveform selective probabilistic data association , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Amir Averbuch,et al.  Interacting Multiple Model Methods in Target Tracking: A Survey , 1988 .

[20]  G. Vankeuk Software structure and sampling strategy for automatic target tracking with a phased array radar , 1979 .

[21]  L.J. Cimini,et al.  MIMO Radar with Widely Separated Antennas , 2008, IEEE Signal Processing Magazine.

[22]  R. Komaragiri,et al.  Time–frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions , 2019, Biomedical engineering letters.

[23]  Zheng Bao,et al.  Prior Knowledge-Based Simultaneous Multibeam Power Allocation Algorithm for Cognitive Multiple Targets Tracking in Clutter , 2015, IEEE Transactions on Signal Processing.

[24]  Rama Komaragiri,et al.  Design of wavelet transform based electrocardiogram monitoring system. , 2018, ISA transactions.

[25]  Bao Zheng,et al.  Joint power and bandwidth allocation for centeralized target tracking in multiple radar system , 2016, 2016 CIE International Conference on Radar (RADAR).

[26]  Gongjian Zhou,et al.  Constant turn model for statically fused converted measurement Kalman filters , 2015, Signal Process..

[27]  L.H. Yuan,et al.  Research on theory and technology of distributed MIMO radar systems , 2011, Proceedings of 2011 IEEE CIE International Conference on Radar.

[28]  Junpeng Shi,et al.  Joint beam and waveform selection for the MIMO radar target tracking , 2019, Signal Process..

[29]  S. A. Cohen Adaptive variable update rate algorithm for tracking targets with a phased array radar , 1986 .