A Simpler Proof of Rapid Convergence Rate in Adaptive Arrays

被引：9
作者：
Liu, Jun [1 ,2 ]
Liu, Weijian [3 ]
Liu, Hongwei [1 ,2 ]
机构：
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Xidian Univ, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Peoples R China
[3] Wuhan Elect Informat Inst, Wuhan 430019, Peoples R China
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 01期
基金：
中国国家自然科学基金;
关键词：
INTEGER AMBIGUITY VALIDATION; PULSAR-TIMING PACKAGE; NAVIGATION; SPACECRAFT; TEMPO2; PHASE; MODEL;
D O I：
10.1109/TAES.2017.2649678
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Reed, Mallett, and Brenann (RMB) derived the distribution of the normalized output signal-to-noise ratio (SNR) of an adaptive array, and obtained the RMB rule: the SNR loss is 3 dB when the amount of homogeneous training data used to estimate the noise covariance matrix is approximately twice the dimension of the received signal. Here, we give a new and simpler derivation for this result, based on Bartlett's decomposition of a complex Wishart distribution.
引用
收藏
页码：135 / 147
页数：13
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