Code Design for Moving Target-Detecting Radar in Nonhomogeneous Signal-Dependent Clutter

In this paper, we investigate the code design problem of improving the detection performance of a moving target in the presence of nonhomogeneous signal-dependent clutter for moving target-detecting (MTD) radar systems. The optimization metric is constructed based on the signal to clutter and noise ratio (SCNR) of interpulse matched filtering. Under the frameworks of cyclic and majorization-minimization algorithms, we propose a novel algorithm, named CMMCODE, to tackle the code design optimization problem in the case of unknown precise target Doppler information and nonhomogeneous clutter. In the white-noise case, the simplified algorithm is also given based on CMMCODE algorithm. The presented algorithm is computationally efficient and convergent. Numerical examples show the effectiveness of the proposed algorithms.

[1]  Daniel Pérez Palomar,et al.  Maximin Joint Optimization of Transmitting Code and Receiving Filter in Radar and Communications , 2017, IEEE Transactions on Signal Processing.

[2]  Prabhu Babu,et al.  Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels , 2015, IEEE Transactions on Signal Processing.

[3]  S. Haykin,et al.  Growler detection in sea clutter using Gaussian spectrum models , 1994 .

[4]  Muralidhar Rangaswamy,et al.  Projected gradient waveform design for fully adaptive radar STAP , 2015, 2015 IEEE Radar Conference (RadarCon).

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

[6]  Augusto Aubry,et al.  Cognitive design of the receive filter and transmitted phase code in reverberating environment , 2012 .

[7]  Petre Stoica,et al.  Designing Unimodular Codes Via Quadratic Optimization , 2013, IEEE Transactions on Signal Processing.

[8]  Augusto Aubry,et al.  A Doppler Robust Design of Transmit Sequence and Receive Filter in the Presence of Signal-Dependent Interference , 2014, IEEE Transactions on Signal Processing.

[9]  P. Stoica,et al.  Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher , 2004, IEEE Signal Process. Mag..

[10]  Dante C. Youla,et al.  Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[11]  Edward M. Hofstetter,et al.  On the design of optimum radar waveforms for clutter rejection , 1967, IEEE Trans. Inf. Theory.

[12]  Xiaolin Du,et al.  Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization Under Range Unambiguous Clutter , 2020, IEEE Signal Processing Letters.

[13]  Antonio De Maio,et al.  A Doppler Robust Max-Min Approach to Radar Code Design , 2010, IEEE Transactions on Signal Processing.

[14]  E. Conte,et al.  Adaptive matched filter detection in spherically invariant noise , 1996, IEEE Signal Processing Letters.

[15]  Zhi-Quan Luo,et al.  Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint , 2009, IEEE Transactions on Signal Processing.

[16]  T. Naghibi,et al.  MIMO Radar Waveform Design in the Presence of Clutter , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[17]  Augusto Aubry,et al.  Robust Waveform and Filter Bank Design of Polarimetric Radar , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Daniel R. Fuhrmann,et al.  A CFAR adaptive matched filter detector , 1992 .

[19]  Augusto Aubry,et al.  Robust Transmit Code and Receive Filter Design for Extended Targets in Clutter , 2015, IEEE Transactions on Signal Processing.

[20]  Mohammad Mahdi Naghsh,et al.  Radar code design for detection of moving targets , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[21]  Prabhu Babu,et al.  Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints , 2018, IEEE Transactions on Signal Processing.

[22]  Zhi-Quan Luo,et al.  A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization , 2012, SIAM J. Optim..

[23]  Joseph R. Guerci,et al.  Enhanced target detection and identification via optimised radar transmission pulse shape , 2001 .

[24]  Muralidhar Rangaswamy,et al.  Signal dependent clutter waveform design for radar STAP , 2014, 2014 IEEE Radar Conference.

[25]  Muralidhar Rangaswamy,et al.  Waveform Design for Radar STAP in Signal Dependent Interference , 2015, IEEE Transactions on Signal Processing.

[26]  D. Hunter,et al.  A Tutorial on MM Algorithms , 2004 .

[27]  Muralidhar Rangaswamy,et al.  Proximal constrained waveform design algorithms for cognitive radar STAP , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[28]  Augusto Aubry,et al.  Optimizing Radar Waveform and Doppler Filter Bank via Generalized Fractional Programming , 2015, IEEE Journal of Selected Topics in Signal Processing.

[29]  Hao He,et al.  On Designing Sequences With Impulse-Like Periodic Correlation , 2009, IEEE Signal Processing Letters.

[30]  Augusto Aubry,et al.  A New Sequential Optimization Procedure and Its Applications to Resource Allocation for Wireless Systems , 2018, IEEE Transactions on Signal Processing.

[31]  Augusto Aubry,et al.  Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[32]  Hao He,et al.  New Algorithms for Designing Unimodular Sequences With Good Correlation Properties , 2009, IEEE Transactions on Signal Processing.

[33]  Petre Stoica,et al.  Computational Design of Sequences With Good Correlation Properties , 2012, IEEE Transactions on Signal Processing.

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