Zhuang Ming-jie
College of Engineering, Huaqiao University, Quanzhou, Fujian, 362021, China
ABSTRACT
Multiple Signal Classification (MUSIC) algorithm is an excelent algorithm which has high resolution and low computational complexity for estimating Direction of Arrival (DOA) signals. It performs well when the number of array antennas M is much larger than the sources D, otherwise its performance severely degrades and DOA of the signal sources even can not be estimated. Based on the idea of Euler's formula, this study introduces an improved MUSIC algorithm utilizing signal conversion to reconstruct a new received signal matrix for real constellation signals. Derivation process of the improved algorithm considers that the new matrix does not change original ones characteristic and still retains the same rank. Simulation results show that estimating performances of improved algorithm outperform the traditional ones for the case of D = M and it is also observed that the improved MUSIC algorithm is able to estimate the number of antennas up to 2(M-1) in lower SNRs.
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How to cite this article
Zhuang Ming-jie, 2013. An Improved Music Algorithm Based on Signal Conversion for Real Modulation Domains. Information Technology Journal, 12: 5270-5275.
DOI: 10.3923/itj.2013.5270.5275
URL: https://scialert.net/abstract/?doi=itj.2013.5270.5275
DOI: 10.3923/itj.2013.5270.5275
URL: https://scialert.net/abstract/?doi=itj.2013.5270.5275
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