Joint waveform optimization and adaptive processing for random-phase radar signals

We consider waveform design for multiple-input, multiple-output radar systems for the case where the signal, during propagation, undergoes phase perturbations. We formulate an iterative algorithm to obtain both waveform parameters and the weights of the adaptive matched filter. An example of a clutter and target model is provided to show how the optimal waveform design improves the detection performance of a random-phase radar compared to traditional waveforms.

[1]  Antonio De Maio,et al.  Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint , 2011, IEEE Transactions on Signal Processing.

[2]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .

[3]  Raviraj S. Adve,et al.  Joint waveform optimization and adaptive processing for random-phase radar signals , 2014, RadarCon 2014.

[4]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[5]  Jian Li,et al.  Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study , 2007, IEEE Transactions on Signal Processing.

[6]  Gennady M. Milikh,et al.  Perturbations of GPS signals by the ionospheric irregularities generated due to HF‐heating at triple of electron gyrofrequency , 2008 .

[7]  Daniel Pérez Palomar,et al.  Code Design for Radar STAP via Optimization Theory , 2010, IEEE Transactions on Signal Processing.

[8]  B. Friedlander,et al.  Waveform Design for MIMO Radars , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[9]  P. P. Vaidyanathan,et al.  MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter , 2009, IEEE Transactions on Signal Processing.

[10]  A. Nehorai,et al.  Information Theoretic Adaptive Radar Waveform Design for Multiple Extended Targets , 2007, IEEE Journal of Selected Topics in Signal Processing.

[11]  Yingning Peng,et al.  MIMO Radar Waveform Design in Colored Noise Based on Information Theory , 2010, IEEE Transactions on Signal Processing.

[12]  H. C. Chan,et al.  An integrated maritime surveillance system based on high-frequency surface-wave radars. 1. Theoretical background and numerical simulations , 2001 .

[13]  Xavier Vallières,et al.  Ionospheric propagation effects on spectral widths measured by SuperDARN HF radars , 2004 .

[14]  Leonid Chernogor,et al.  Variations in the ionospheric wave perturbation spectrum during periodic heating of the plasma by high-power high-frequency radio waves , 2011 .

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

[16]  Albert D. Wheelon.  Electromagnetic scintillation. Vol.1: Geometrical optics , 2001 .

[17]  Sandeep Gogineni,et al.  Frequency-Hopping Code Design for MIMO Radar Estimation Using Sparse Modeling , 2012, IEEE Transactions on Signal Processing.

[18]  Xiaohua Zhu,et al.  Adaptive Waveform Design for Separated Transmit/Receive ULA-MIMO Radar , 2010, IEEE Transactions on Signal Processing.

[19]  Heung-No Lee,et al.  Multimode Precoding for MIMO Systems: Performance Bounds and Limited Feedback Codebook Design , 2008, IEEE Transactions on Signal Processing.

[20]  P. P. Vaidyanathan,et al.  MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms , 2008, IEEE Transactions on Signal Processing.