Robust adaptive beamforming via improved worst-case performance optimization algorithm based on FDA-MIMO

Zhao, Yingjian; Tian, Bangsen; Wang, Chunyang; Zhao, Yingjian; Tan, Ming

doi:10.1007/s11045-021-00801-z

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…Ref. [43] proposed a worst-case performance optimization method, which utilized Eigenspace to reconstruct the covariance matrix to design robust adaptive beamforming in the FDA-MIMO system. Hence, these interference suppression methods were equivalent to operating in the spatial frequency domain [44,45].…”

Section: Introductionmentioning

confidence: 99%

A Method to Suppress Interferences Based on Secondary Compensation with QPC-FDA-MIMO Radar

Zhang,

Liao,

et al. 2023

Remote Sensing

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The traditional phased array radar is unable to distinguish mainlobe deceptive interference from the true target when they share an identical angle. To address this issue, a method is developed to suppress the interference in the joint transmit–receive–Doppler frequency domain, using secondary compensation and quadratic phase code (QPC) with the frequency diversity array multiple-input multiple-output (FDA-MIMO) radar. The QPC technique is employed by encoding the transmitted pulses in various spatial channels, which extends the degrees-of-freedom (DOFs) of the system. To distinguish and suppress the false targets behind the true target by at least one pulse, Doppler compensation is performed and Doppler filters are employed. To distinguish the fast-generated false targets, which are located in the same pulse with the true target, the spatial frequency compensation is implemented, which equivalently relocates the mainlobe interference to the sidelobes. Via the singular spectrum analysis (SSA) technique and the data-dependent beamforming, the interferences within the ambiguity region are suppressed. Simulation results verify the effectiveness of the method.

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Section: Introductionmentioning

confidence: 99%

A Method to Suppress Interferences Based on Secondary Compensation with QPC-FDA-MIMO Radar

Zhang,

Liao,

et al. 2023

Remote Sensing

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“…[6][7][8][9].In terms of mainlobe interference suppression, Xu et al first adopted range-angle two-dimensional adaptive beamforming to suppress mainlobe signal-dependent interference [10]. Subsequently, the methods based on covariance matrix reconstruction [11,12], improved worst-case performance optimization method [13], and the direct data domain based beamforming method [14] have been developed for the FDA-MIMO radar to suppress the mainlobe interferences. To alleviate the non-homogeneous problem of adjacent range gate data caused by the range-dependent property of FDA-MIMO radar, LAN et al proposed…”

mentioning

confidence: 99%

Joint antenna selection and beamforming for frequency diverse multiple‐input multiple‐output radar in mainlobe spectrum interferences and signal‐dependent interferences coexistence scenarios

Shao,

Hu,

Zhang

et al. 2023

IET Radar Sonar & Navi

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Due to the controllable degrees of freedom of frequency diverse array in the distance dimension, the frequency diverse multiple‐input multiple‐output (FDA‐MIMO) radar can easily deal with mainlobe interference, which is often difficult to solve in traditional phased arrays. Nevertheless, the performance of FDA‐MIMO radar will suffer from degradation in the scenario where spectrum interferences and signal‐dependent interferences coexist. In order to solve this problem, a novel FDA‐MIMO radar framework via antenna switching is proposed. Based on this framework, an effective method for jointly optimising antenna selection and beamforming against spectrum interferences and signal‐dependent interferences is developed. The resulting optimization problem is nonconvex and NP‐hard owing to the integer constraints caused by antenna selection. By relaxing the integer constraints, the original problem can be transformed into a convex optimization form and an iterative reweighting strategy is used to force the obtained solution to satisfy the integer constraints. Simulation examples show that the proposed algorithm has better performance in output signal‐to‐interference‐plus‐noise ratio (SINR) and beampattern radiation performance than the existing competitive methods.

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Interference Suppression Method with MR-FDA-MIMO Radar

Zhu

et al. 2023

IEEE Trans. Aerosp. Electron. Syst.

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Robust adaptive beamforming via improved worst-case performance optimization algorithm based on FDA-MIMO

Cited by 5 publications

References 41 publications

A Method to Suppress Interferences Based on Secondary Compensation with QPC-FDA-MIMO Radar

A Method to Suppress Interferences Based on Secondary Compensation with QPC-FDA-MIMO Radar

Joint antenna selection and beamforming for frequency diverse multiple‐input multiple‐output radar in mainlobe spectrum interferences and signal‐dependent interferences coexistence scenarios

Interference Suppression Method with MR-FDA-MIMO Radar

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