Joint Design of Transmit Waveforms for Object Tracking in Coexisting Multimodal Sensing Systems

We examine a multiple object tracking problem by jointly optimizing the transmit waveforms used in a multimodal system. Coexisting sensors in this system were assumed to share the same spectrum. Depending on the application, a system can include radars tracking multiple targets or multiuser wireless communications and a radar tracking both multiple messages and a target. The proposed spectral coexistence approach was based on designing all transmit waveforms to have the same time-varying phase function while optimizing desirable performance metrics. Considering the scenario of tracking a target with a pulse–Doppler radar and multiple user messages, two signaling schemes were proposed after selecting the waveform parameters to first minimize multiple access interference. The first scheme is based on system interference minimization, whereas the second scheme explores the multiobjective optimization tradeoff between system interference and object parameter estimation error. Simulations are provided to demonstrate the performance tradeoffs due to different system requirements.

[1]  Daniel W. Bliss,et al.  Waveform selection for range and Doppler estimation via Barankin bound signal-to-noise ratio threshold , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Andrea Giorgetti,et al.  Coexistence Between UWB and Narrow-Band Wireless Communication Systems , 2009, Proceedings of the IEEE.

[3]  Moe Z. Win,et al.  A stochastic geometry approach to coexistence in heterogeneous wireless networks , 2009, IEEE Journal on Selected Areas in Communications.

[4]  Shannon D. Blunt,et al.  Analysis of symbol-design strategies for intrapulse radar-embedded communications , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[6]  Andrea Giorgetti Interference mitigation technique by sequence design in UWB cognitive radio , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[7]  J. R. Guerci,et al.  Joint design and operation of shared spectrum access for radar and communications , 2015, 2015 IEEE Radar Conference (RadarCon).

[8]  Moe Z. Win,et al.  Device-Free Counting via Wideband Signals , 2017, IEEE Journal on Selected Areas in Communications.

[9]  Antonia Papandreou-Suppappola,et al.  Dependent Dirichlet Process Modeling and Identity Learning for Multiple Object Tracking , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[10]  Antonia Papandreou-Suppappola Time-frequency processing: Tutorial on principles and practice , 2002 .

[11]  Antonia Papandreou-Suppappola,et al.  Time-Frequency Separation of Matched-Waveform Signatures of Coexisting Multimodal Systems , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[12]  Christian Sturm,et al.  Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing , 2011, Proceedings of the IEEE.

[13]  Andrea Giorgetti,et al.  Sensor Radar for Object Tracking , 2018, Proceedings of the IEEE.

[14]  J. R. Guerci,et al.  Cognitive radar: A knowledge-aided fully adaptive approach , 2010, 2010 IEEE Radar Conference.

[15]  Moeness G. Amin,et al.  Signaling strategies for dual-function radar communications: an overview , 2016, IEEE Aerospace and Electronic Systems Magazine.

[16]  Hao Shen,et al.  Diversity and channel estimation using time-varying signals and time-frequency techniques , 2006, IEEE Transactions on Signal Processing.

[17]  Athina P. Petropulu,et al.  Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System , 2015, IEEE Transactions on Signal Processing.

[18]  Michael Spencer,et al.  Spectrum Issues Faced by Active Remote Sensing: Radio frequency interference and operational restrictions Technical Committees , 2016, IEEE Geoscience and Remote Sensing Magazine.

[19]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise , 1992 .

[20]  Ronald P. S. Mahler,et al.  Statistical Multisource-Multitarget Information Fusion , 2007 .

[21]  M.A. El-Sharkawi,et al.  Pareto Multi Objective Optimization , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[22]  Maria-Gabriella Di Benedetto,et al.  Fluid coding and coexistence in ultra wide band networks , 2006, Mob. Networks Appl..

[23]  Peter Rossmanith,et al.  Simulated Annealing , 2008, Taschenbuch der Algorithmen.

[24]  Anthony F. Martone,et al.  Coexistence between communications and radar systems: A survey , 2017, URSI Radio Science Bulletin.

[25]  Ba-Ngu Vo,et al.  Labeled Random Finite Sets and Multi-Object Conjugate Priors , 2013, IEEE Transactions on Signal Processing.

[26]  Urbashi Mitra,et al.  Mutual information based radar waveform design for joint radar and cellular communication systems , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[27]  Klaus Moessner,et al.  Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook , 2016, IEEE Communications Surveys & Tutorials.

[28]  Klaus C. J. Dietmayer,et al.  The Labeled Multi-Bernoulli Filter , 2014, IEEE Transactions on Signal Processing.

[29]  John Y. N. Cho,et al.  The Threat to Weather Radars by Wireless Technology , 2016 .

[30]  D Garmatyuk,et al.  Multifunctional Software-Defined Radar Sensor and Data Communication System , 2011, IEEE Sensors Journal.

[31]  Defu Jiang,et al.  A novel integrated radar and communication waveform based on LFM signal , 2015, 2015 IEEE 5th International Conference on Electronics Information and Emergency Communication.

[32]  Moe Z. Win,et al.  The effect of narrowband interference on wideband wireless communication systems , 2005, IEEE Transactions on Communications.

[33]  Antonia Papandreou-Suppappola,et al.  Nonstationary signal design for coexisting radar and communications systems , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

[34]  Ba-Ngu Vo,et al.  An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter , 2016, IEEE Transactions on Signal Processing.

[35]  Antonia Papandreou-Suppappola,et al.  Random Infinite Tree and Dependent Poisson Diffusion Process for Nonparametric Bayesian Modeling in Multiple Object Tracking , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[36]  Wei Zhang,et al.  Study on integrated radar-communication signal of OFDM-LFM based on FRFT , 2015 .

[37]  John S. Kota,et al.  Transmit Waveform Design for Coexisting Radar and Communications Systems , 2016 .

[38]  Bo Gao,et al.  An Overview of Dynamic Spectrum Sharing: Ongoing Initiatives, Challenges, and a Roadmap for Future Research , 2016, IEEE Transactions on Cognitive Communications and Networking.

[39]  Juan M. Corchado,et al.  A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking , 2017, Sensors.

[40]  Han-Shin Jo,et al.  Compatibility between LTE and airport surveillance radar in 2700–2900 MHz radar bands , 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

[41]  A. Aubry,et al.  A new radar waveform design algorithm with improved feasibility for spectral coexistence , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[42]  Moe Z. Win,et al.  Efficient Multisensor Localization for the Internet of Things: Exploring a New Class of Scalable Localization Algorithms , 2018, IEEE Signal Processing Magazine.

[43]  Owen Brown,et al.  Defense Advanced Research Projects Agency , 2009 .