Slow-Time FDA-MIMO Technique With Application to STAP Radar

Wen, Cai; Huang, Yan; Peng, Jinye; Wu, Jianxin; Zhang, Yuhong

doi:10.1109/taes.2021.3098100

Cited by 84 publications

(15 citation statements)

References 55 publications

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“…Considering the superiority of MIMO radar and STAP, researchers proposed the concept of MIMO-STAP for future AEW systems and extensive studies have been devoted to this area (see, e.g., [6], [11]- [15] and the references therein). The results showed that for detection of slowly-moving targets, MIMO-STAP achieved better performance than conventional STAP methods.…”

Section: -9251 © Ieeementioning

confidence: 99%

Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing

Tang

2023

IEEE Trans. Aerosp. Electron. Syst.

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This paper focuses on the joint design of transmit waveforms and receive filters for airborne multiple-input-multipleoutput (MIMO) radar systems in spectrally crowded environments. The purpose is to maximize the output signal-to-interference-plusnoise-ratio (SINR) in the presence of signal-dependent clutter. To improve the practicability of the radar waveforms, both a multi-spectral constraint and a peak-to-average-power ratio (PAPR) constraint are imposed. A cyclic method is derived to iteratively optimize the transmit waveforms and receive filters. In particular, to tackle the encountered non-convex constrained fractional programming in designing the waveforms (for fixed filters), we resort to the Dinkelbach's transform, minorization-maximization (MM), and leverage the alternating direction method of multipliers (ADMM). We highlight that the proposed algorithm can iterate from an infeasible initial point and the waveforms at convergence not only satisfy the stringent constraints, but also attain superior performance.

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Section: -9251 © Ieeementioning

confidence: 99%

Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing

Tang

2023

IEEE Trans. Aerosp. Electron. Syst.

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“…A reiterative minimum mean square errorbased space-time adaptive processing (STAP) algorithm was proposed in [35] to address FDA radar range-couple adaptive processing. Additionally, Xu et al [36] studied robust adaptive beamforming for FDA-STAP radar fast-moving target detection and Wen et al [37], [38] investigated STAP in slowtime FDA-MIMO radars. Particularly, STAP for range ambiguous clutter suppression in airborne FDA-MIMO radar was presented in [39] by exploiting the range dependence property and relationship between spatial and Doppler frequencies.…”

Section: B Range Ambiguous Clutter Suppressionmentioning

confidence: 99%

Frequency Diverse Array Auto-Scanning Beam Characteristics and Potential Radar Applications

Wang

2022

IEEE Access

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Different from the phased-array with the same carrier frequency for all elements providing only angle-dependent beampattern, frequency diverse array (FDA) using a small frequency offset across its array elements offers new application capabilities due to its both angle and range dependent beampattern, which allows auto beam-scanning capability even without the employment of phase shifters, which are required in phased-array. This paper studied FDA auto-scanning beam characteristics and several potential radar applications. The FDA auto-scanning beam characteristics including range and angle coupling, beam auto-scanning rate and integral array again are analyzed. To fully utilize FDA specific auto-scanning beam characteristics, several potential applications such as radio frequency (RF) stealth or RF localization deception, range-ambiguous clutter suppression and mainlobe interference suppression are discussed. Moreover, several discussions about space-time adaptive processing and possible future investigations are provided. This paper is formulated from a top-level system description, which aims to introduce this promising FDA technique to radar community so that more investigations can be facilitated.INDEX TERMS Frequency diverse array (FDA), auto-scanning antenna, radio frequency (RF) stealth, time-variant beampattern, space-time adaptive processing, ambiguous clutter suppression, mainlobe interference suppression.

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“…Up to now, the receiving signal of mth array elements is not only range-dependent and angle-dependent but also timedependent. For FDA radar, the transmission beam of the frequency diversity array is time-dependent, range-dependent, and angle-dependent [38,39]. The FDA time-varying radiation pattern is short-time focussed, and the emission synthesis signal is spatiotemporally coupled [40].…”

Section: Prerequisitementioning

confidence: 99%

Highly focussed beampattern synthesis in FDA‐MIMO radar with multicarrier transmission

Geng

Cheng

et al. 2022

IET Radar Sonar & Navi

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Multicarrier technology is widely used for improving the performance of beampattern synthesis in frequency diverse array multiple-input and multiple-output (FDA-MIMO) Radar. However, how to use multicarrier technology to achieve highly focussed beampattern synthesis is still an open problem. To this end, the authors first establish the system model of FDA-MIMO radar with multicarrier transmission and analyse the parameters influencing beampattern synthesis by Cramér-Rao lower bound derivation. It can be recognised that frequency increments and multicarrier distribution are key parameters hindering highly focussed beampattern synthesis. On top of the investigation, a simple yet effective Multidimensional Non-linear Frequency Component, named multidimensional frequency components (MNFC), is proposed for forming a highly focussed beam. Specifically, MNFC is a two-dimension frequency component for FDA-MIMO radar. The first dimension is the frequency increment weighted by the Dynamic Taylor Window Function that effectively decouples the joint-range-angle beampattern. The second dimension is a non-linear multicarrier weighted by Log with a Linear Coefficient for further optimising dot-shaped beampatterns for target indication with high precision. Finally, numerical simulations and comparative experiments are performed to validate the superiority of the MNFC in beampattern synthesis.

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Slow-Time FDA-MIMO Technique With Application to STAP Radar

Cited by 84 publications

References 55 publications

Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing

Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing

Frequency Diverse Array Auto-Scanning Beam Characteristics and Potential Radar Applications

Highly focussed beampattern synthesis in FDA‐MIMO radar with multicarrier transmission

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