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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：适用于鲁棒自适应阵列处理的中位数级联消除器

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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：将中位数级联消除器（MCC）引入为强大的多通道自适应阵列处理器。与样品矩阵反转（SMI）的方法相比，显示出显着降低脉冲噪声尖峰（异常值）对度量收敛性能的有害影响;如（归一化）输出残留功率和信号与干扰 - 加噪声比（SINR）。对于没有异常值的情况，MCC收敛性能仍然与SMI方法相比，用于几种实际干扰场景。结果表明，当重量训练数据包含强目标组件时，MCC提供了针对所需信号（目标）取消的自然保护。此外，结果显示为高保真，模拟，拦截干扰和非源性杂波环境。这里，MCC用于空中自适应处理（STAP）配置，用于机载雷达干扰缓解。结果表明MCC通过SMI方法产生明显的SINR性能改进。

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