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Qian, B., Wang, P. and Wang, X. (2013) Subarray Optimization and Partition Technology in Dimension Reduction Steered Minimum Variance. Journal of Harbin Engineering University, 34, 445-449. (In Chinese)

has been cited by the following article:

• TITLE: Block Iterative STMV Algorithm and Its Application in Multi-Targets Detection

  AUTHORS: Daizhu Zhu, Haoquan Guo, Yuanao Wei, Kaiju Wang

  KEYWORDS: Beamforming, Steered Minimum Variance (STMV), Block Iterative, Computational Cost, Multi-Targets Detection

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.8 No.7, July 24, 2020

  ABSTRACT: STMV beamforming algorithm needs inversion operation of matrix, and its engineering application is limited due to its huge computational cost. This paper proposed block iterative STMV algorithm based on one-phase regressive filter, matrix inversion lemma and inversion of block matrix. The computational cost is reduced approximately as 1/4 M times as original algorithm when array number is M. The simulation results show that this algorithm maintains high azimuth resolution and good performance of detecting multi-targets. Within 1 - 2 dB directional index and higher azimuth discrimination of block iterative STMV algorithm are achieved than STMV algorithm for sea trial data processing. And its good robustness lays the foundation of its engineering application.