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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Median cascaded canceller for robust adaptive array processing
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Median cascaded canceller for robust adaptive array processing

机译：中值级联抵消器，用于鲁棒的自适应阵列处理

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摘要

A median cascaded canceller (MCC) is introduced as a robust multichannel adaptive array processor. Compared with sample matrix inversion (SMI) methods, it is shown to significantly reduce the deleterious effects of impulsive noise spikes (outliers) on convergence performance of metrics; such as (normalized) output residue power and signal to interference-plus-noise ratio (SINR). For the case of no outliers, the MCC convergence performance remains commensurate with SMI methods for several practical interference scenarios. It is shown that the MCC offers natural protection against desired signal (target) cancellation when weight training data contains strong target components. In addition, results are shown for a high-fidelity, simulated, barrage jamming and nonhomogenous clutter environment. Here the MCC is used in a space-time adaptive processing (STAP) configuration for airborne radar interference mitigation. Results indicate the MCC produces a marked SINR performance improvement over SMI methods.
机译：中值级联抵消器（MCC）被引入作为鲁棒的多通道自适应阵列处理器。与样本矩阵求逆（SMI）方法相比，它可以显着减少脉冲噪声尖峰（离群值）对度量收敛性能的有害影响。例如（标准化的）输出残留功率和信噪比（SINR）。对于没有异常值的情况，在几种实际干扰情况下，MCC收敛性能仍与SMI方法相当。结果表明，当重量训练数据包含强大的目标成分时，MCC可以自然防御所需的信号（目标）消除。此外，还显示了高保真，模拟，弹幕干扰和非均匀杂波环境的结果。此处，MCC用于时空自适应处理（STAP）配置中，用于减轻机载雷达干扰。结果表明，与SMI方法相比，MCC产生了显着的SINR性能改善。

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