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DOA Estimation in Impulsive Noise Environment Based on Uniform Circular Array

Author: YangJiao
Tutor: QiuTianShuang
School: Dalian University of Technology
Course: Signal and Information Processing
Keywords: DOA α stable distribution Uniform circular array MUSIC algorithm ESPRIT algorithm
CLC: TN911.23
Type: Master's thesis
Year: 2010
Downloads: 51
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Abstract


Classic direction of arrival (DOA) estimation algorithms such as MUSIC algorithm and ESPRIT algorithm can be accurately estimated direction of arrival of the signal, but they are only the array model is only applicable in the case of uniform linear array (ULA). Based on the uniform circular array (UCA) DOA estimation method can estimate the direction of the angle of the signal and the pitch angle, to approximate isotropic, uniform circular array in the direction of the corner has, in any direction, and have approximately the same The resolving power and the estimation accuracy, have important applications in the field of radio monitoring. Many signal processing in a radio monitoring system are cyclostationary signal, cyclic statistics in the radio channel can be achieved a smooth signal and the effective separation of the cyclostationary signal, and different from the cycle frequency of the interference signal can be suppressed, therefore, cyclic statistics become an important means of radio monitoring system DOA estimation. However, in a wireless channel, due to the impact of natural and human factors, signal to noise in the measured data is often accompanied by a strong pulse interference and usually α stable distribution model to describe. This paper studies the impulse noise environment based on the uniform circular array DOA estimates. First, the study of the characteristics of cyclostationary signals, including cycle mean, cycle correlation function and cyclic spectrum correlation function, made a detailed analysis and simulation, and the the AM signal BPSK signal and QPSK signal cycle correlation function and cyclic spectrum function . Secondly, uniform linear array since the DOA estimation method based on fractional lower order cycle, including uniform linear array based on fractional lower order cycle since the MUSIC algorithm and uniform linear array based on fractional lower order cyclic autocorrelation ESPRIT algorithm and do a detailed analysis and simulation. DOA estimation method based on UCA cycle of failure under impulse noise conditions is proposed based on the uniform circular array fractional lower order cyclic correlation matrix; based on impulse noise environment based on the uniform circular array circulation MUSIC (FLOCC-UCA-MUSIC) algorithm. The computer simulation results show that, FLOCC-UCA-MUSIC algorithm proposed in this paper can effectively suppress the impulse noise interference, accurate estimate of the signal direction angle and pitch angle. Fourth, under impulsive noise environment based on the uniform circular array cycle ESPRIT (FLOCC-UCA-ESPRIT) algorithm. The computer simulation results show that, this paper FLOCC-UCA-ESPRIT algorithm can effectively suppress the impulse noise interference, and accurately estimate the angle and pitch angle of the direction of the signal. Finally, the summary of the work in this article, and looking forward to the next step of the work plan.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Information Theory > Signal detection and estimation
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