Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing

Tang, Bo; Tuck, Jonathan; Stoica, Petre

doi:10.1109/tsp.2020.2983833

Cited by 83 publications

(33 citation statements)

References 40 publications

(66 reference statements)

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“…where p is the radar transmitted waveform and M is the signal-independent disturbance covariance. Now, following the line of reasoning of some already published papers [25], [30], [33], [56], an iterative and alternating optimization approach is herein implemented. Precisely, at each step only one variable is optimized while the other is maintained fixed, and viceversa at the next step.…”

Section: F Joint Phase-only Stap and Transmitting Waveform Optimizationmentioning

confidence: 99%

Phase-Only Space-Time Adaptive Processing

Pallotta¹,

Farina

Smith

et al. 2021

IEEE Access

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Space-time adaptive processing (STAP) is a well-known and effective method to detect targets, obscured by interference, from airborne radars that works by coherently combining signals from a phased antenna array (spatial domain) with multiple radar pulses (temporal domain). As widely demonstrated, optimum STAP, in the sense of maximizing the output signal to interference plus noise ratio (SINR), is a coherent, linear, transversal filter (i.e., tapped delay line), that can be synthesized by a complex-valued weight vector. This paper extends previous work that focused on adaptive spatial-only nulling, derives the optimum phase-only STAP; namely, the optimal weight vector that maximizes the SINR subject to the constraint it belongs to the N -torus of phase-only complex vectors, where N is the number of spatio-temporal degrees of freedom. Because this problem does not admit a closed-form solution, it is solved numerically using the phase-only conjugate gradient method (CGM). The effectiveness of phaseonly STAP is demonstrated using both SINR values and receiving beampattern shape, comparing it with the optimum fully-adapted STAP and the nonadapted beam former responses as well as other possible counterparts. Additionally, several analyses of practical utility also demonstrate the benefits provided by phase-only STAP.INDEX TERMS radar signal processing, space time adaptive processing (STAP), adaptive radar receiver, phase-only adaptive nulling, phase-only STAP, gradient descent method.

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Section: F Joint Phase-only Stap and Transmitting Waveform Optimizationmentioning

confidence: 99%

Phase-Only Space-Time Adaptive Processing

Pallotta¹,

Farina

Smith

et al. 2021

IEEE Access

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“…Afterwards, the authors in [ 6 , 7 ] adopted a genetic algorithm and the Niche genetic algorithm in the optimization process to improve the orthogonality of the code sets. In [ 8 ], the authors revealed a problem that the method could be trapped in the local minimum shortly after initialization, which resulted in poor performance when designing a polyphase waveform. To solve this problem, the authors proposed a relaxation and cyclic optimization algorithm.…”

Section: Related Workmentioning

confidence: 99%

Design of Optimized Coded LFM Waveform for Spectrum Shared Radar System

Kim

Lim

2021

Sensors

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To meet the increasing demands for remote sensing, a number of radar systems using Linear Frequency Modulation (LFM) waveforms have been deployed, causing the problem of depleting frequency resources. To address this problem, several researchers have proposed the Spectrum Shared Radar System (SSRS) in which multiple radars share the same frequency band to transmit and receive their own signals. To mitigate the interferences caused by the signal transmission by other radars, SSRS employs orthogonal waveforms that inherit the orthogonality of the waveforms from orthogonal codes. However, the inherited orthogonality of the codes is significantly reduced when incorporating LFM waveforms with the codes. To solve this problem, in this paper, we propose a novel but simple scheme for generating a set of optimized coded LFM waveforms via new optimization framework. In the optimization framework, we minimize the weighted sum of autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP) of the coded LFM waveforms to maximize the orthogonality of the waveforms. Through computer simulations, we show that the waveforms generated by the proposed scheme outperform the waveforms created by previous proposals in terms of ASP and CP.

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“…We note that some prior work such as [25]- [27], [31] is developed based on the assumption that the spatial-temporal steering vectors u c,l,k of the clutter are known a priori, or in other words that the azimuths, ranges, and Doppler frequencies of the clutter patches are exactly known. In practice, however, it is difficult to obtain parameters such as these for the signaldependent clutter.…”

Section: A Radar Received Signal and Radar Performance Metricmentioning

confidence: 99%

“…It can be observed that with a fixed transmit waveform x, the original problem (26) becomes a well-known minimum variance distortionless response (MVDR) problem [27], [31]:…”

Section: Problem Formulationmentioning

confidence: 99%

Joint Waveform and Filter Designs for STAP-SLP-based MIMO-DFRC Systems

Liu,

Li,

Liu

et al. 2021

Preprint

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Dual-function radar-communication (DFRC), which can simultaneously perform both radar and communication functionalities using the same hardware platform, spectral resource and transmit waveform, is a promising technique for realizing integrated sensing and communication (ISAC). Space-time adaptive processing (STAP) in multi-antenna radar systems is the primary tool for detecting moving targets in the presence of strong clutter. The idea of joint spatial-temporal optimization in STAPbased radar systems is consistent with the concept of symbollevel precoding (SLP) for multi-input multi-output (MIMO) communications, which optimizes the transmit waveform for each of the transmitted symbols. In this paper, we combine STAP and SLP and propose a novel STAP-SLP-based DFRC system that enjoys the advantages of both techniques. The radar output signal-to-interference-plus-noise ratio (SINR) is maximized by jointly optimizing the transmit waveform and receive filter, while satisfying the communication quality-of-service (QoS) constraint and various waveform constraints including constant-modulus, similarity and peak-to-average power ratio (PAPR). An efficient algorithm framework based on majorization-minimization (MM) and nonlinear equality constrained alternative direction method of multipliers (neADMM) methods is proposed to solve these complicated non-convex optimization problems. Simulation results verify the effectiveness of the proposed STAP-SLP-based MIMO-DRFC scheme and the associate algorithms.

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Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing

Cited by 83 publications

References 40 publications

Phase-Only Space-Time Adaptive Processing

Phase-Only Space-Time Adaptive Processing

Design of Optimized Coded LFM Waveform for Spectrum Shared Radar System

Joint Waveform and Filter Designs for STAP-SLP-based MIMO-DFRC Systems

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