数字信号处理(DSP)中的MVDR教学要点

Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012 Pub Date : 2012-11-26 DOI:10.1109/TALE.2012.6360341

Xiansheng Guo, Q. Wan, Ying Zhang, Jintao Liang

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引用次数: 3

摘要

最小方差无失真响应(MVDR)波束形成器是一种经典的滤波器，可以在不扭曲期望信号的情况下减少干扰和噪声能量。半定规划(SDP)是凸优化的一个分支，主要研究线性目标函数在正半定矩阵锥的交点上的优化问题。在本文中，我们将证明MVDR目标函数可以由SDP目标函数导出，反之亦然。这一结论可以帮助学生更好地从凸优化的角度理解MVDR，使他们对MVDR理论有一个新的认识。

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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Teaching notes of MVDR in digital signal processing (DSP)

The minimum variance distortionless response (MVDR) beamformer is a classical filter to reduce the interference plus noise energy without distorting the desired signal. Semidefinite programming (SDP) is a subfield of convex optimization concerned with the optimization of a linear objective function over the intersection of the cone of positive semidefinite matrices. In this paper, we will show MVDR objective function can be derived from SDP objective function and vice versa. This conclusion can help students better understand MVDR from convex optimization and bring them a new insight of MVDR theory.

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Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012

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