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Joint DOA and D oppler frequency estimation of coherent and/or same‐direction signals
Author(s) -
Shan Zebiao,
Liu Xiaosong,
Wang Chunyang,
Shi Hongwei,
Shi Yaowu
Publication year - 2017
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3482
Subject(s) - computer science , direction of arrival , algorithm , doppler effect , signal (programming language) , joint (building) , multiple signal classification , linear subspace , direction finding , speech recognition , antenna (radio) , telecommunications , mathematics , architectural engineering , physics , astronomy , engineering , geometry , programming language
Summary The smart antenna is one of the most attractive technologies in mobile communications. In this paper, a modified 2D multiple signal classification (MUSIC) algorithm based on eigenspace is presented to jointly estimate the directions of arrival and Doppler frequencies for the coherent and/or same‐direction signals. First, a modified 2D MUSIC (MMUSIC) algorithm is provided using the conjugate data to cope with the estimation for the case of coherent signals and/or same‐direction signals. Then on this basis, we derive an eigenspace‐based MMUSIC (ES‐MMUSIC) algorithm, which uses the information of both signal and noise subspaces. The ES‐MMUSIC algorithm can also estimate signals power. Besides, this method has no influence on directions of arrival and Doppler frequencies estimation of uncorrelated signals; in the meanwhile, the computational complexity will have no obvious increase as well. Finally, the results of several contrastive numerical simulations demonstrate the superiority of the ES‐MMUSIC algorithm compared with the MMUSIC algorithm.