High-Resolution Delay-Doppler Estimation Using Received Communication Signals for OFDM Radar-Communication System

High-resolution delay-Doppler estimation is an important requirement for automotive radar systems, especially in multi-target scenarios that require better target separation performance. Orthogonal frequency-division multiplexing (OFDM) is a promising candidate waveform for future intelligent transport networks, since it enables the integration of both radar and communication functionalities. Exploring the dual functionality enabled by OFDM, this paper presents a new cooperative method for high-resolution delay-Doppler estimation. The proposed subspace-based method exploits the combination of both the radar and received communication signals to estimate target parameters. The procedure achieves high-resolution delay-Doppler estimation for both uncorrelated, partially correlated and coherent signals, and enables a significant reduction in the required bandwidth when compared to previous approaches which do not exploit the knowledge of the communication signals. Laboratory measurements at 24 GHz and simulation results demonstrate the efficacy of the proposed method for the estimation of multiple targets.

[1]  Daming Wang,et al.  Direction-of-Arrival Estimation for Both Uncorrelated and Coherent Signals in Coprime Array , 2019, IEEE Access.

[2]  Thomas Zwick,et al.  An OFDM System Concept for Joint Radar and Communications Operations , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[3]  Arye Nehorai,et al.  Adaptive OFDM Radar for Target Detection in Multipath Scenarios , 2011, IEEE Transactions on Signal Processing.

[4]  Xiaofei Zhang,et al.  Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC , 2010, IEEE Communications Letters.

[5]  Paulo P. Monteiro,et al.  Research Challenges, Trends and Applications for Future Joint Radar Communications Systems , 2018, Wireless Personal Communications.

[6]  Paulo P. Monteiro,et al.  Comparison of DoA Algorithms for MIMO OFDM Radar , 2018, 2018 15th European Radar Conference (EuRAD).

[7]  R. Kumaresan,et al.  Estimating the Angles of Arrival of Multiple Plane Waves , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Pierfrancesco Lombardo,et al.  WiFi-Based Passive Bistatic Radar: Data Processing Schemes and Experimental Results , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Martin Haardt,et al.  Single Snapshot Spatial Smoothing With Improved Effective Array Aperture , 2009, IEEE Signal Processing Letters.

[10]  Stephen J. Searle,et al.  DVB-T Passive Radar Signal Processing , 2013, IEEE Transactions on Signal Processing.

[11]  Julie Ann Jackson,et al.  WiMAX OFDM for Passive SAR Ground Imaging , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Xian-Da Zhang,et al.  An ESPRIT-like algorithm for coherent DOA estimation , 2005, IEEE Antennas and Wireless Propagation Letters.

[13]  Victor C. M. Leung,et al.  Resource Allocation for a Wireless Powered Integrated Radar and Communication System , 2018, IEEE Wireless Communications Letters.

[14]  Piotr Samczynski,et al.  Traffic density monitoring using passive radars , 2017, IEEE Aerospace and Electronic Systems Magazine.

[15]  P. P. Vaidyanathan,et al.  Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom , 2010, IEEE Transactions on Signal Processing.

[16]  Surendra Prasad,et al.  A transform-based covariance differencing approach for some classes of parameter estimation problems , 1988, IEEE Trans. Acoust. Speech Signal Process..

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

[18]  Davide Dardari,et al.  Personal Mobile Radars with Millimeter-Wave Massive Arrays for Indoor Mapping , 2016, IEEE Transactions on Mobile Computing.

[19]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[20]  R. Lynn Kirlin,et al.  Improved spatial smoothing techniques for DOA estimation of coherent signals , 1991, IEEE Trans. Signal Process..

[21]  Iidar Urazghildiiev,et al.  High-Resolution Estimation of Ranges Using Multiple-Frequency CW Radar , 2007, IEEE Transactions on Intelligent Transportation Systems.

[22]  Thomas Zwick,et al.  2D radar imaging with velocity estimation using a MIMO OFDM-based radar for automotive applications , 2013, 2013 European Radar Conference.

[23]  Shengli Zhou,et al.  Signal Processing for Passive Radar Using OFDM Waveforms , 2010, IEEE Journal of Selected Topics in Signal Processing.

[24]  Arye Nehorai,et al.  OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking , 2010, IEEE Transactions on Signal Processing.

[25]  Yachao Li,et al.  Joint High-Resolution Range and DOA Estimation via MUSIC Method Based on Virtual Two-Dimensional Spatial Smoothing for OFDM Radar , 2018 .

[26]  Bin Yang,et al.  High-Performance Automotive Radar: A review of signal processing algorithms and modulation schemes , 2019, IEEE Signal Processing Magazine.

[27]  T. Kailath,et al.  Estimation of Signal Parameters via Rotational Invariance Techniques - ESPRIT , 1986, MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's.

[28]  Robert W. Heath,et al.  IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System , 2017, IEEE Transactions on Vehicular Technology.

[29]  Andreas Jakobsson,et al.  Subspace-based estimation of time delays and Doppler shifts , 1998, IEEE Trans. Signal Process..

[30]  Michael R. Inggs,et al.  Stepped OFDM radar technique to resolve range and doppler simultaneously , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[31]  Paulo P. Monteiro,et al.  24 GHz QAM-FBMC Radar with Communication System (RadCom) , 2018, 2018 Asia-Pacific Microwave Conference (APMC).

[32]  Antonio De Maio,et al.  Intrapulse radar-embedded communications via multiobjective optimization , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[33]  Hyo-Tae Kim,et al.  Radar target identification using one-dimensional scattering centres , 2001 .

[34]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[35]  Bernard Mulgrew,et al.  Performance of spatial smoothing algorithms for correlated sources , 1996, IEEE Trans. Signal Process..

[36]  Chenguang Shi,et al.  Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System , 2020, IEEE Systems Journal.

[37]  Chenguang Shi,et al.  Joint Subcarrier Assignment and Power Allocation Strategy for Integrated Radar and Communications System Based on Power Minimization , 2019, IEEE Sensors Journal.

[38]  Guisheng Liao,et al.  An Eigenstructure Method for Estimating DOA and Sensor Gain-Phase Errors , 2011, IEEE Transactions on Signal Processing.

[39]  Chenguang Shi,et al.  Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence , 2018, IEEE Transactions on Signal Processing.

[40]  Michael D. Zoltowski,et al.  ESPRIT-based 2-D direction finding with a sparse uniform array of electromagnetic vector sensors , 2000, IEEE Trans. Signal Process..

[41]  Arye Nehorai,et al.  Adaptive Design of OFDM Radar Signal With Improved Wideband Ambiguity Function , 2010, IEEE Transactions on Signal Processing.

[42]  N. Levanon Multifrequency complementary phase-coded radar signal , 2000 .

[43]  Guisheng Liao,et al.  Adaptive OFDM Integrated Radar and Communications Waveform Design Based on Information Theory , 2017, IEEE Communications Letters.

[44]  Ahmed A. Kishk,et al.  MIMO-OFDM radar for direction estimation , 2010 .

[45]  Xiaodong Wang,et al.  Super-Resolution Delay-Doppler Estimation for OFDM Passive Radar , 2016, IEEE Transactions on Signal Processing.

[46]  Paulo P. Monteiro,et al.  Non-Orthogonal Multicarrier Waveform for Radar With Communications Systems: 24 GHz GFDM RadCom , 2019, IEEE Access.

[47]  Shefeng Yan,et al.  Super-resolution time delay estimation for narrowband signal , 2012 .

[48]  Mikhail Cherniakov,et al.  Design and Validation of a Passive Radar Concept for Ship Detection Using Communication Satellite Signals , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[49]  B. Friedlander,et al.  Direction finding using spatial smoothing with interpolated arrays , 1992 .

[50]  S D Blunt,et al.  Intrapulse Radar-Embedded Communications , 2010, IEEE Transactions on Aerospace and Electronic Systems.