Academic Journal
基于波束图重构的机载双基地雷达距离模糊杂波分离与抑制方法.
| Τίτλος: | 基于波束图重构的机载双基地雷达距离模糊杂波分离与抑制方法. |
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| Alternate Title: | Range-ambiguous Clutter Separation and Suppression Method for Airborne Bistatic Radar Based on Beam Pattern Reconstruction. |
| Συγγραφείς: | 朱晗归1, 陈 威2, 易建新1, 刘维建1, 谢文冲2, 王永良2 |
| Πηγή: | Journal Of Radars / Leida Xuebao. Jun2026, Vol. 15 Issue 3, p891-908. 18p. |
| Θεματικοί όροι: | *Bistatic radar, *Space-time adaptive signal processing, *Radar signal processing, *Adaptive signal processing, *Signal detection, *Signal processing, *Interference suppression |
| Abstract (English): | Space-Time Adaptive Processing (STAP) is a key technique used for ground/sea clutter suppression and moving target detection in airborne radar. However, under range ambiguity conditions, the inherent clutter nonstationarity in airborne bistatic radar violates the independent and identically distributed assumption required for training samples, significantly degrading the performance of conventional STAP methods. To address this issue, this study first analyzed the limitations of the Conventional Beamforming (CBF)-based disambiguation approach, which exhibits a trade-off between mainlobe gain loss and sidelobe suppression. A method based on a cascaded blocking matrix and adaptive beamforming is proposed for separating rangeambiguous clutter. Although this method improves upon the CBF-based approach, it introduces noise distortion, which limits further improvements in clutter separation and suppression accuracy. Hence, a novel method based on beam pattern reconstruction is proposed to overcome this drawback. This method formulates an optimization problem incorporating beam-maintenance and sidelobe-control terms to design spatial filter weights, effectively separating range-ambiguous clutter while preserving the mainlobe target gain and suppressing sidelobe clutter. Subsequently, angle-Doppler compensation is applied to the separated clutter, followed by final suppression using a subarray-based STAP method incorporating a joint three-channel Doppler transform. Simulation results revealed that compared with typical methods, the proposed approach more effectively separated clutter, significantly narrowed the mainlobe notch width, and limited the output signal-toclutter-plus-noise ratio loss to <3 dB, thereby markedly enhancing clutter suppression performance and target detection capability under range ambiguity conditions. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 空时自适应处理(STAP)是机载雷达地/海杂波抑制和运动目标检测的关键技术。然而, 在距离模糊条件 下, 机载双基地雷达所面临的杂波非平稳性会破坏训练样本的独立同分布假设, 导致传统STAP方法性能显著下 降。针对该问题, 该文首先分析了基于常规波束形成的解模糊方法中存在的主瓣增益损失与旁瓣抑制之间的固有 矛盾;继而提出一种基于阻塞矩阵级联自适应波束形成的距离模糊杂波分离方法, 虽在一定程度上提升了性能, 但因引入噪声畸变而存在局限性。为克服上述方法的不足, 该文进一步提出一种基于波束图重构的距离模糊杂波 抑制方法。在主瓣杂波估计和子阵处理的基础上, 该方法通过构建包含波束保形约束与旁瓣控制项的优化问题, 直接设计空域滤波器权值, 从而在分离不同模糊距离杂波的同时, 有效兼顾主瓣目标增益与低旁瓣性能。随后, 对分离后的杂波进行角度-多普勒补偿, 并利用子阵级多普勒三通道联合处理空时自适应处理(3DT-STAP)完成 最终抑制。仿真结果表明, 与典型方法相比, 该文所提方法能够更有效地分离不同模糊距离区间的杂波, 主瓣凹 口宽度显著收窄, 且输出信杂噪比损失控制在3 dB以内, 显著提升了距离模糊场景下的杂波抑制性能与目标检测 能力. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
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