An Improved ESPRIT-Based Algorithm for Monostatic FDA-MIMO Radar With Linear or Nonlinear Frequency Increments

Autor:	Qin Shu, Rong Yang, Yunxiu Yang, Maoyuan Feng
Rok vydání:	2021
Předmět:	Nonlinear system law Computer science Modeling and Simulation Improved algorithm MIMO Range (statistics) Mimo radar Electrical and Electronic Engineering Radar Algorithm Computer Science Applications law.invention
Zdroj:	IEEE Communications Letters. 25:2375-2379
ISSN:	2373-7891 1089-7798
Popis:	This letter proposes a search-free algorithm based on ESPRIT for angle and range estimation in monostatic multiple-input multiple-output (MIMO) radar with frequency diverse array (FDA). In this algorithm, the angle is estimated by the ESPRIT algorithm, and the range is calculated by the least-squares principle. Thus, it is suited for FDA-MIMO radar works in linear and nonlinear frequency increments. Besides, the improved algorithm has better range estimation performance than the traditional ESPRIT algorithm. Simulation results prove the effectiveness of the proposed algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::44d2bbb06e1d1c5bc46d7a2bfc1284b2 https://doi.org/10.1109/lcomm.2021.3075208 Zobrazit plný text záznamu