Joint Design of Transmit Waveform and Receive Beamforming for LPI FDA-MIMO Radar

Gong, Pengcheng; Zhang, Zhuoyu; Wu, Yuntao; Wang, Wen-Qin

doi:10.1109/lsp.2022.3205206

Cited by 24 publications

(10 citation statements)

References 43 publications

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“…Half-Power Width Angle (Degree) ↓ Range (km) ↓ NCCB [53] 6.0 14.2 MVDR [16] 10.0 35.0 ADMM [51] 4.0 9.4 SDR [50] 87.0 16.9 ASM-ADMM [28] 5.7 10.8 AMO-NI (Ours) 3.6 8.9…”

Section: Methodsmentioning

confidence: 99%

“…(2) Searching for the global optimum of multiple variables in a high-dimensional solution space becomes quite challenging as the dimension of variables increases. In this case, previous methods run very slowly and struggle to meet the requirements in general radar application scenarios [28,51]. (3) During the optimization process, the coupling terms can easily lead to the degradation of the 2D resolution [32].…”

Section: Optimization Problem Of Joint Beamformingmentioning

confidence: 99%

“…Additionally, we compare our method with some other representative optimization approaches in terms of complexity and running time as shown in Table 2. The compared optimization methods include NCCB [53], MVDR [16], ADMM [51], SDR [50], and ASM-ADMM [28]. It can be observed that (1) in a single iteration, the complexity of the proposed method is O(M 3 K 3 + N 2 ), which is lower than other methods.…”

Section: The Convergence Evaluation and Complexity Analysismentioning

confidence: 99%

“…In [27], the authors established an FDA antenna model with multiple overlapping subarrays and utilized ADMM to optimize the transmit beampattern, forming a beampattern with lower cross-correlation sidelobes. Gong et al [28] proposed a primal-dual algorithm to enhance the LPI capability in the FDA-MIMO radar. To mitigate synthetic aperture radar interference, Lan et al [29] developed iteration algorithms by introducing artificial interference, generating a trough-like transceiver beampattern with arbitrarily distributed broadened nulls.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

Geng,

Li,

Dong

et al. 2024

Remote Sensing

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Joint transceiver beamforming is a fundamental and crucial research task in the field of signal processing. Despite extensive efforts made in recent years, the joint transceiver beamforming of frequency diverse array (FDA)-based multiple-input and multiple-output (MIMO) radar has received relatively less attention and is confronted with some tricky challenges, such as range–angle decoupling and the interaction between multiple performance metrics. In this paper, we initially derive the generalized ambiguity function of the FDA-MIMO radar to explore the intrinsic correlation between its waveform design and resolution. Following that, the joint beamforming optimization is formulated as a nonconvex bivariate quadratic programming problem (NBQP) with the aim of maximizing the Signal-to-Interference-Noise Ratio (SINR) of the FDA-MIMO radar system. Building upon this, we introduce an innovative alternating manifold optimization with nested iteration (AMO-NI) algorithm to address the NBQP. By incorporating manifold optimization into iterative updates of transmit waveform and receiving filter, the AMO-NI algorithm considers the interdependencies among the optimization variables. The algorithm efficiently and expeditiously finds global optimum solutions within a finite number of iterations. Compared with other methods, our approach yields a superior beampattern and higher SINR.

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“…Half-Power Width Angle (Degree) ↓ Range (km) ↓ NCCB [53] 6.0 14.2 MVDR [16] 10.0 35.0 ADMM [51] 4.0 9.4 SDR [50] 87.0 16.9 ASM-ADMM [28] 5.7 10.8 AMO-NI (Ours) 3.6 8.9…”

Section: Methodsmentioning

confidence: 99%

Section: Optimization Problem Of Joint Beamformingmentioning

confidence: 99%

Section: The Convergence Evaluation and Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

Geng,

Li,

Dong

et al. 2024

Remote Sensing

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show abstract

“…Recently, there have been a number of longitudinal studies involving corresponding algorithms of beampattern synthesis [11]. Aiming to increase the low probability of intercept in different situations, optimization objective functions of amplitude, phase, and frequency of each array element, have been carried out on beamforming [12][13][14][15]. Unlike the typical MIMO radar, the actual probing of FDA-MIMO radar relies on both in the frequency-controlled way and the phasecontrolled way [16].…”

Section: Introductionmentioning

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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Joint optimization of FDA-MIMO antenna selection and frequency offset to maximize SINR

Liu¹,

Wang²,

Gong³

et al. 2023

Digital Signal Processing

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Joint Design of Transmit Waveform and Receive Beamforming for LPI FDA-MIMO Radar

Cited by 24 publications

References 43 publications

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

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

Joint optimization of FDA-MIMO antenna selection and frequency offset to maximize SINR

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