Steering vector mismatch: analysis and reduction

J. Luminati, T. Hale
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引用次数: 1

Abstract

In adaptive radar systems, optimal processing for target detection is only possible when the target location in angle and Doppler is used to build the processing filter. When this location is not exact, losses occur. These losses translate into a reduction in detection probability. After development of analytical expressions to quantify the effects of this mismatch, two techniques are examined for reducing these effects. These techniques are tested against losses due to Doppler mismatch. The first technique involves the use of temporal windows and reduces mismatch losses at the expense of reducing the overall signal-to-interference-plus-noise ratio (SINR) of the target. The second technique involves the use of additional filters, and achieves a reduction in mismatch losses without sacrificing maximum SINR. A brief overview of the problems associated with multidimensional (angle and Doppler) mismatch is also presented.
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转向矢量失配:分析与减少
在自适应雷达系统中,只有利用目标角度定位和多普勒建立处理滤波器,才能实现对目标检测的最优处理。当这个位置不准确时,就会发生损失。这些损失转化为检测概率的降低。在开发了分析表达式来量化这种不匹配的影响之后,研究了两种技术来减少这些影响。对这些技术进行了多普勒失配造成的损失测试。第一种技术涉及使用时间窗,以降低目标的总体信噪比(SINR)为代价来减少失配损失。第二种技术涉及使用额外的滤波器,在不牺牲最大SINR的情况下实现失配损失的减少。简要概述了与多维(角度和多普勒)失配相关的问题。
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