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http://dx.doi.org/10.17661/jkiiect.2020.13.2.153

A Study on Power Spectrum Algorithm for Signal Resolution Improvement  

Lee, Kwan-Hyeong (Division of Human IT Convergency, Daejin University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.2, 2020 , pp. 153-158 More about this Journal
Abstract
In this paper, we studied an algorithm for estimating a desired target by removing noise and interference in a wireless communication environment. When an information signal with a mixture noise and interference receive a receiver, noise and interference signals must be removed to accurately estimate a desired target. In order to divide the received signal region into two spatial, a power spectrum is obtained by analyzing a correlation matrix, covariance, eigen vector, and eigen value. The proposed spectrum is an algorithm that can remove noise and interference, and analyzes the existing algorithm and target estimation performance through simulation. As a result of simulation, the target estimation resolution of existing algorithm is more than 10°, but the resolution of the proposed algorithm is less than 10°. The proposed algorithm has improved the resolution of about 5° than the exiting algorithm. The proposed algorithm proved that the target estimation accuracy and resolution are superior to the existing algorithm.
Keywords
Interference; Noise; Autocorrelation; Signal sub spatial; Eigen vector; Eigen value;
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