基于期望信号和干扰杂波之间多普勒/延迟分集的盲自适应干扰抑制

K.T. Wong
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引用次数: 0

摘要

这种盲自适应干扰抑制算法旨在使用未知或未校准阵列流形的传感器阵列,消除来自未知方位和海拔的多个智能干扰和背景杂波的影响。该算法通过利用期望信号和干扰之间的多普勒分集和延迟分集,分别估计仅包含干扰和噪声的空间相关矩阵(R/sub I+N/)和包含期望信号加干扰和噪声的空间相关矩阵(R/sub S+I+N/)。矩阵铅笔对的最大广义特征值(R/spl circ//sub S+I+N/,R/spl circ//sub I+N/)对应的特征向量表示使信噪比(SINR)最大化的最佳自适应波束形成权向量w/spl deg/。这种替代ISR(情报/监视/侦察)技术可以降低成本,并且可能增强脉冲雷达系统、军事和商业全球定位系统(GPS)导航设备和无人机电子监视系统中现有传感器阵列自适应波束形成技术的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind adaptive interference rejection based on Doppler/delay diversity between desired signal and interference/clutter
This blind adaptive interference rejection algorithm aims to null multiple smart jammers and background clutter impinging from unknown azimuths and elevations using a sensor array with unknown or uncalibrated array manifold. This algorithm, by exploiting the Doppler diversity and delay diversity amongst the desired signal and interference, separately estimates the spatial correlation matrix (R/sub I+N/) encompassing only the interference and noise and the spatial correlation matrix (R/sub S+I+N/) encompassing the desired signal plus interferences and noise. The eigenvector corresponding to the largest generalized eigenvalue of the matrix pencil pair (R/spl circ//sub S+I+N/,R/spl circ//sub I+N/) represents the optimum adaptive beamforming weight vector w/spl deg/ that will maximize the signal-interference-plus-noise ratio (SINR). This alternate ISR (intelligence/surveillance/reconnaissance) technology could lower the cost and may enhance the reliability of existing sensor-array adaptive beamforming technology in pulse radar systems, in military and commercial Global Positioning System (GPS) navigation devices, and in UAV electronic surveillance systems.
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