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Fast Signal Recovery in the Presence of Mutual Coupling Based on New 2-D Direct Data Domain Approach

机译:基于新型二维直接数据域方法的互耦快速信号恢复

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摘要

The performance of adaptive algorithms, including direct data domain least square, can be significantly degraded in the presence of mutual coupling among array elements. In this paper, a new adaptive algorithm was proposed for the fast recovery of the signal with one snapshot of receiving signals in the presence of mutual coupling, based on the two-dimensional direct data domain least squares (2-D D~3LS) for uniform rectangular array (URA). In this method, inverse mutual coupling matrix was not computed. Thus, the computation was reduced and the signal recovery was very fast. Taking mutual coupling into account, a method was derived for estimation of the coupling coefficient which can accurately estimate the coupling coefficient without any auxiliary sensors. Numerical simulations show that recovery of the desired signal is accurate in the presence of mutual coupling.
机译:在阵列元素之间存在相互耦合的情况下,包括直接数据域最小二乘在内的自适应算法的性能可能会大大降低。本文基于二维直接数据域最小二乘(2-DD〜3LS),提出了一种新的自适应算法,用于在相互耦合的情况下快速恢复具有接收信号快照的信号。矩形阵列(URA)。在这种方法中,不计算逆互耦合矩阵。因此,减少了计算并且信号恢复非常快。考虑到相互耦合,推导了一种估计耦合系数的方法,该方法无需任何辅助传感器即可准确估计耦合系数。数值模拟表明,在存在相互耦合的情况下,所需信号的恢复是准确的。

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