Disambiguation of interferometric DOA estimates in vehicular passive radar

Passive sensing involves the exploitation of ambient radio-frequency transmissions to infer the presence and properties of reflectors in the vicinity. With multiple receivers the directions of arrival (DOA) may be estimated. Interferometry is a simple means of DOA estimation, requiring minimal computational cost and as few as two receivers. However, interferometry suffers from ambiguity: signals incident from several distinct DOAs are indistinguishable because they yield the same measurement. This study considers interferometrical DOA estimation applied to the vehicular communications environment, assuming a vehicle equipped with two receivers. An algorithm for the disambiguation of DOA estimates using measurements from a second baseline is presented and a probabilistic analysis of this method is undertaken. The construction of extra baselines by consideration of the vehicle motion between signal frames is considered. The use of second-order measurement ratios generates baselines of acceptable length, given typical vehicle speeds. The effect of bias induced by second-order methods is explored.

[1]  Douglas A. Gray,et al.  Unambiguous AOA estimation using SODA interferometry for electronic surveillance , 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[2]  David Peavey,et al.  The single channel interferometer using a pseudo-Doppler direction finding system , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  Andrea M. Tonello,et al.  Positioning Based on 2-D Angle of Arrival Estimation , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[4]  E. H. Satorius,et al.  Direction of arrival estimation via extended phase interferometry , 1995 .

[5]  C. Engdahl,et al.  Model-based adaptive detection and DOA estimation using separated sub-arrays , 2002, Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322).

[6]  Elizabeth Ralston,et al.  Ambiguity Resolution in Interferometry , 1981, IEEE Transactions on Aerospace and Electronic Systems.

[7]  M. Fattouche,et al.  Line-of-sight angle of arrival estimation in the outdoor multipath environment , 1998 .

[8]  Emanuel A. P. Habets,et al.  A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

[10]  C. Brinegar Passive direction finding: combining amplitude and phase based methods , 2000, Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093).

[11]  Andrea M. Tonello,et al.  A Frequency-Domain LOS Angle-of-Arrival Estimation Approach in Multipath Channels , 2013, IEEE Transactions on Vehicular Technology.

[12]  Bin Tang,et al.  A method for ambiguity solving based on rotary interferometer , 2013, 2013 International Conference on Communications, Circuits and Systems (ICCCAS).

[13]  Stephen Searle,et al.  Remodulation of DVB—T signals for use in Passive Bistatic Radar , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[14]  Mohammad S. Sharawi,et al.  Characterizing the performance of single-channel Pseudo-Doppler direction finding systems at 915 MHz for vehicle localization , 2011, Int. J. Commun. Syst..

[15]  Claude Jauffret,et al.  A Unifying Approach for Disturbance Cancellation and Target Detection in Passive Radar Using OFDM , 2016, IEEE Transactions on Signal Processing.

[16]  J. E. Palmer,et al.  Evaluation of adaptive filter algorithms for clutter cancellation in Passive Bistatic Radar , 2012, 2012 IEEE Radar Conference.

[17]  Ashraf A. Adam,et al.  Performance evaluation of correlative interferometry for angle of arrival estimation , 2015 .

[18]  Fredrik Tufvesson,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. INVITED PAPER Vehicular Channel Characterization and Its Implications for Wireless System Design and Performan , 2022 .

[19]  Stephen Searle,et al.  An Examination of Bias in SODA Interferometry , 2017, IEEE Signal Processing Letters.

[20]  G. Marsaglia Ratios of Normal Variables and Ratios of Sums of Uniform Variables , 1965 .

[21]  Rong Yang,et al.  RF Emitter Geolocation using Amplitude Comparison with Auto-Calibrated Relative Antenna Gains , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Julie Ann Jackson,et al.  Cross-ambiguity characterization of communication waveform features for passive radar , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Mahrokh G. Shayesteh,et al.  Robust Timing and Frequency Synchronization for OFDM Systems , 2011, IEEE Transactions on Vehicular Technology.

[24]  Linda M. Davis,et al.  Understanding the signal structure in DVB-T signals for passive radar detection , 2010, 2010 IEEE Radar Conference.

[25]  He-Wen Wei,et al.  Performance analysis and comparison of correlative interferometers for direction finding , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[26]  Joong Soo Lim,et al.  A design of precision RF direction finding device using circular interferometer , 2004, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004..

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

[28]  Bin Feng,et al.  An effective CLEAN algorithm for interference cancellation and weak target detection in passive radar , 2013, Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[29]  Dae-Young Kim,et al.  The Fast Correlative Interferometer Direction Finder using I/Q Demodulator , 2006, 2006 Asia-Pacific Conference on Communications.

[30]  Li Dong-hai,et al.  A new approach of high resolution direction finding using single channel receiver , 2010, 2010 International Conference on Image Analysis and Signal Processing.

[31]  Premysl Janu,et al.  Optimized algorithm for solving phase interferometer ambiguity , 2016, 2016 17th International Radar Symposium (IRS).