一种计算多测量向量线谱估计复cram - rao界的新方法

Lin Han, R. Fu, Xian Zhu, Yanyu Chen, Huiliang Ge
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引用次数: 0

摘要

提出了一种计算多测量向量线谱估计的复Fisher信息矩阵(FIM)和cram - rao界(CRB)的新方法,给出了详细的理论计算过程。最后,通过与另一种计算复杂CRB的方法进行比较,验证了理论结果的准确性,并验证了CRB作为性能指标的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Method to Calculate Complex Cramér-Rao Bound for Line Spectrum Estimation with Multiple Measurement Vectors
A new method to calculate the complex Fisher information matrix (FIM) and the Cramér-Rao bound (CRB) is proposed for line spectrum estimation (LSE) with multiple measurement vectors (MMVs), The detailed theoretic calculation process is presented in the text. Finally, numerical results are conducted not only to verify accuracy of the theoretical result by comparing against another method to calculate complex CRB, but also to demonstrate the effectiveness of CRB as the performance metric.
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