DocumentCode :
1291082
Title :
Single Antenna Power Measurements Based Direction Finding
Author :
Lie, Joni Polili ; Blu, Thierry ; See, Chong Meng Samson
Author_Institution :
Temasek Labs., Nanyang Technol. Univ., Singapore, Singapore
Volume :
58
Issue :
11
fYear :
2010
Firstpage :
5682
Lastpage :
5692
Abstract :
In this paper, the problem of estimating direction-of-arrival (DOA) of multiple uncorrelated sources from single antenna power measurements is addressed. Utilizing the fact that the antenna pattern is bandlimited and can be modeled as a finite sum of complex exponentials, we first show that the problem can be transformed into a frequency estimation problem. Then, we explain how the annihilating filter method can be used to solve for the DOA in the noiseless case. In the presence of noise, we propose to use Cadzow denoising that is formulated as an iterative algorithm derived from exploiting the matrix rank and linear structure properties. Furthermore, we have also derived the Cramér-Rao Bound (CRB) and reviewed several alternative approaches that can be used as a comparison to the proposed approach. From the simulation and experimental results, we demonstrate that the proposed approach significantly outperforms other approaches. It is also evident from the Monte Carlo analysis that the proposed approach converges to the CRB.
Keywords :
Monte Carlo methods; antenna radiation patterns; direction-of-arrival estimation; filtering theory; iterative methods; signal denoising; Cadzow denoising; Cramer-Rao bound; Monte Carlo analysis; annihilating filter method; antenna pattern; direction finding; direction-of-arrival estimation; iterative algorithm; single antenna power measurements; Antenna radiation patterns; Arrays; Direction of arrival estimation; Directive antennas; Filters; Multiple signal classification; Noise reduction; Permission; Power measurement; Receiving antennas; Signal processing algorithms; Vectors; Annihilating filter; denoising; direction-of-arrival; single antenna direction finding;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2010.2065227
Filename :
5545422
Link To Document :
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