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

Autor:	Kaiju Wang, Yuanao Wei, Haoquan Guo, Daizhu Zhu
Rok vydání:	2020
Předmět:	Azimuth Beamforming Data processing Robustness (computer science) Computer science Sea trial Block matrix Inversion (meteorology) Woodbury matrix identity Algorithm
Zdroj:	Journal of Applied Mathematics and Physics. :1346-1361
ISSN:	2327-4379 2327-4352
DOI:	10.4236/jamp.2020.87103
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6c747e19f81b66a2eeb74e86eae882b2 https://doi.org/10.4236/jamp.2020.87103 Zobrazit plný text záznamu