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Authors
Affiliations
1 Periyar Maniammai University, Periyar Nagar, Vallam, IN
Source
Digital Signal Processing, Vol 2, No 8 (2010), Pagination: 109-115
Abstract
This paper presents a tool for the analysis, and simulation of direction-of-arrival (DOA) estimation in wireless mobile communication systems utilizing adaptive antenna arrays.This paper evaluates the performance of a number of DOA estimation algorithms. It reviews four methods of Direction of arrival (DOA)estimation, all of which can be derived from the parametric based and subspace based methods. The parametric based method results from the application of the Maximum Likelihood principle to the statistics of the observed raw data. Second, the standard Multiple Signal Classification (MUSIC) can be obtained from the subspace based methods. In improved MUSIC procedure called Cyclic MUSIC, it can automatically classify the signals as desired and undesired based on the known spectral correlation property and estimate only the desired signal's DOA. The last method is an extension of the Cyclic MUSIC algorithm called Extended Cyclic MUSIC by using an extended array data vector. By exploiting cyclostationarity, the signal's DOA estimation can be significantly improved. In this paper, two different types of data model viz received signal with fading and received signal without fading are used for which estimates the DOA of wide band signals. This paper provides a fairly complete image of the performance and statistical efficiency of each of above four methods with QPSK and exponential pulse modulation.
Keywords
MUSIC, QPSK, DOA Estimation, Fading Channel, Multipath Channels, RMSE, SNR, MLM, ULA, Cyclic MUSI, Extended Cyclic MUSIC Method.
