Abstract—This paper presents a performance analysis of a direction-of-arrival (DOA) estimation algorithm that is based on a modified MUSIC algorithm. We present the description, comparison performance and high resolution analyses of this algorithm. The signal estimator is based on a linear algebraic relation between the standard subspace model of the array correlation matrix and a special signal interference model. This algorithm is not a subspace weighted MUSIC algorithm, because the scaling depends on the eigen-structure of the estimated signal subspace. The proposed modified MUSIC algorithm has the advantage of simultaneously estimating the DOA and the power of each source. Estimates of the sampled channel impulse response are derived using of the channel symbols. The channel response samples are separately processed to recover the DOA of the relative paths. Through simulations, we compare the DOA estimator using the modified MUSIC algorithm, based on these representations. Numerical results both demonstrate the superior performance of the modified MUSIC algorithm relative to the traditional MUSIC algorithm and confirm the validity of the results.
 

Index Terms—DoA, MUSIC algorithm, eigen value, array antenna, subspace, estimation

Cite: Kwan Hyeong Lee and Tae Jun Cho, "Performance Analysis of Noise Signal Reduction Using Novel MUSIC Method of Adaptive Arrays," Journal of Communications, vol. 12, no. 6, pp. 347-352, 2017. Doi: 10.12720/jcm.12.6.347-352.