Closed form expression for the Cramér-Rao lower bound for the DOA estimates from spatially and temporally correlated narrowband signals considering noncircular sources

Sonia Ben Hassen, A. Samet, F. Bellili, S. Affes
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引用次数: 2

Abstract

In this paper, we derive for the first time an explicit expression for the stochastic Cramér-Rao lower bound (CRLB or CRB) of the DOA estimates from spatially and temporally correlated signals generated from noncircular sources. The new CRB is compared to those of circular temporally correlated and noncircular independent and identically distributed (iid) signals. It will be shown that the CRB obtained assuming both noncircular sources and temporally correlated signals is lower than the CRBs derived considering only one of these two assumptions. This illustrates the potential gain that both the noncircularity and the temporal correlation provide when considered together. It will also be proved that the difference between the three CRBs increases with the number of snapshots. However, as the signal-to-noise ratio (SNR) increases, the CRBs merge together and decrease linearly. Moreover, we notice that in low SNR values the temporal correlation is more informative about the unknown DOA parameters than the noncircularity. Finally, we show the dependence of the CRB on the noncircularity rate, the noncircularity phase separation and the DOA separation.
考虑非圆源的时空相关窄带信号DOA估计的cram r- rao下界的封闭表达式
本文首次导出了由非圆源产生的时空相关信号的DOA估计的随机cram r- rao下界(CRLB或CRB)的显式表达式。并与圆形时间相关信号和非圆形独立同分布信号进行了比较。结果表明,假设非圆源和时间相关信号时得到的CRB比只考虑这两个假设中的一个时得到的CRB要低。这说明了当同时考虑非圆性和时间相关性时所提供的潜在增益。还将证明三个crb之间的差异随着快照数量的增加而增加。然而,随着信噪比(SNR)的增加,crb合并在一起并线性降低。此外,我们注意到,在低信噪比值下,时间相关性比非圆度更能提供未知DOA参数的信息。最后,我们给出了非圆率、非圆相位分离和DOA分离对CRB的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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