Adaptive Transmit Power Allocation for FDA Radar With Spectral Interference Avoidance

In this paper, we first establish a spectral interference model for frequency diverse array (FDA) radar, with a focus on the interference covariance matrix structure. Then, we show that the FDA radar has a capability in suppressing spectral interferences, even if they enter through the receiver mainlobe. In order to improve the suppression performance, we further design a transmit weight vector for adaptive element-wise power allocation, through maximizing the output signal-to-interference-plus-noise ratio (SINR). Numerical results demonstrate that the FDA radar with adaptive power allocation is able to avoid those spectral interferences via adjusting its transmit spectrum. The resulting output SINR is higher than those of the FDA with uniform power allocation, conventional phased-array (PA) and multi-input multi-output (MIMO) radars.

[1]  Wen-Qin Wang,et al.  Cognitive Target Tracking via Angle-Range-Doppler Estimation With Transmit Subaperturing FDA Radar , 2018, IEEE Journal of Selected Topics in Signal Processing.

[2]  Wen-Qin Wang,et al.  General receiver design for FDA radar , 2018, 2018 IEEE Radar Conference (RadarConf18).

[3]  Augusto Aubry,et al.  Optimization theory-based radar waveform design for spectrally dense environments , 2016, IEEE Aerospace and Electronic Systems Magazine.

[4]  Guisheng Liao,et al.  Deceptive jamming suppression with frequency diverse MIMO radar , 2015, Signal Process..

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

[6]  Lei Huang,et al.  Joint Range and Angle Estimation Using MIMO Radar With Frequency Diverse Array , 2015, IEEE Transactions on Signal Processing.

[7]  Jingjing Huang,et al.  Frequency diverse array: Simulation and design , 2009, 2009 Loughborough Antennas & Propagation Conference.

[8]  Wen-Qin Wang,et al.  An Overview on Time/Frequency Modulated Array Processing , 2017, IEEE Journal of Selected Topics in Signal Processing.

[9]  Guisheng Liao,et al.  Range Ambiguous Clutter Suppression for Airborne FDA-STAP Radar , 2015, IEEE Journal of Selected Topics in Signal Processing.

[10]  Laurent Savy,et al.  Challenge problems in spectrum engineering and waveform diversity , 2013, 2013 IEEE Radar Conference (RadarCon13).

[11]  Guisheng Liao,et al.  A Range Ambiguity Resolution Approach for High-Resolution and Wide-Swath SAR Imaging Using Frequency Diverse Array , 2017, IEEE Journal of Selected Topics in Signal Processing.

[12]  Ijaz Mansoor Qureshi,et al.  Frequency Diverse Array Radar With Logarithmically Increasing Frequency Offset , 2015, IEEE Antennas and Wireless Propagation Letters.

[13]  Michael C. Wicks,et al.  Forward-looking radar GMTI benefits using a linear frequency diverse array , 2006 .

[14]  M. Seçmen,et al.  Frequency Diverse Array Antenna with Periodic Time Modulated Pattern in Range and Angle , 2007, 2007 IEEE Radar Conference.

[15]  Wen-Qin Wang,et al.  Coherent Pulsed-FDA Radar Receiver Design With Time-Variance Consideration: SINR and CRB Analysis , 2018, IEEE Transactions on Signal Processing.

[16]  Shannon D. Blunt,et al.  Radar Spectrum Engineering and Management: Technical and Regulatory Issues , 2015, Proceedings of the IEEE.

[17]  C.J. Baker,et al.  Frequency diverse array radars , 2006, 2006 IEEE Conference on Radar.

[18]  Yimin Liu,et al.  The Random Frequency Diverse Array: A New Antenna Structure for Uncoupled Direction-Range Indication in Active Sensing , 2016, IEEE Journal of Selected Topics in Signal Processing.

[19]  Fulvio Gini,et al.  Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization , 2017, IEEE Journal of Selected Topics in Signal Processing.