Direction of Arrival Algorithm using GSU-minimization

A smart antenna is a digital wireless communications antenna system that takes advantage of diversity effect at the source (transmitter), the destination (receiver) or both. Diversity effect involves the transmission and/or reception of multiple radio frequency (RF) waves to increase data speed and reduce the error rate. A smart antenna enables a higher capacity in wireless networks by effectively reducing multipath and co-channel interference. This is achieved by focusing the radiation only in the desired direction and adjusting itself to changing traffic conditions or signal environments. Smart antennas employ a set of radiating elements arranged in the form of an array. The GSU-MUSIC algorithm for DOA estimation of smart antenna is similar to MUSIC and it uses iterative approach based on GSU minimization to find accurate values of the peaks. The GSU-MUSIC Algorithm overcomes the problems associated with previous techniques used for DOA estimation of smart antenna. DOI: 10.17762/ijritcc2321-8169.160412

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

A fast DOA estimation algorithm developed from MUSIC, which also benefits from the processing of the signals' polarization information, is presented. Besides performance enhancement in precision and resolution, the proposed algorithm can be exerted on various forms of polarization sensitive arrays, without specific requirement on the array's pattern. Depending on the continuity property of the space spectrum, a huge amount of computation incurred in the calculation of 4-D space spectrum is averted. Performance and computation complexity analysis of the proposed algorithm is discussed and the simulation results are presented. Compared with conventional MUSIC, it is indicated that the proposed algorithm has considerable advantage in aspects of precision and resolution, with a low computation complexity proportional to a conventional 2-D MUSIC

Uni-Vector-Sensor Dimensionality Reduction MUSIC Algorithm for DOA and Polarization Estimation

This paper addresses the problem of multiple signal classification- (MUSIC-) based direction of arrival (DOA) and polarization estimation and proposes a new dimensionality reduction MUSIC (DR-MUSIC) algorithm. Uni-vector-sensor MUSIC algorithm provides estimation for DOA and polarization; accordingly, a four-dimensional peak search is required, which hence incurs vast amount of computation. In the proposed DR-MUSIC method, the signal steering vector is expressed in the product form of arrival angle function matrix and polarization function vector. The MUSIC joint spectrum is converted to the form of Rayleigh-Ritz ratio by using the feature where the 2-norm of polarization function vector is constant. A four-dimensional MUSIC search reduced the dimension to two two-dimensional searches and the amount of computation is greatly decreased. The theoretical analysis and simulation results have verified the effectiveness of the proposed algorithm

Radar target characterization by the polarimetric high resolution method

We consider in this paper the characterization of a radar target by the high resolution method (MUSIC) with polarization diversity. A stepped-frequency radar system is used and the target is modelled by the scattering centers . We propose a new high resolution method which exploits optimally the polarization of the received waves, the calculation time of this method is comparable to that of the scalar HR method . We show by simulation that the proposed method can not only give more informations about the target (polarization state), but also provide better performance than the classical scalar high resolution methods in terms of resolution of the scattering centers .Cet article s'inscrit dans le cadre de la caractérisation d'une cible radar par une méthode à haute résolution en incorporant la polarisation des ondes reçues. La cible radar est modélisée par des contributeurs élémentaires et le radar est à diversité de fréquence et de polarisation. On propose une nouvelle méthode généralisant la méthode MUSIC à la diversité de polarisation. Cette méthode permet d'exploiter pleinement l'information contenue dans les signaux vectoriels, tout en gardant un temps de calcul comparable à celui des méthodes ne tenant pas compte de l'aspect vectoriel des signaux reçus. Les simulations montrent que la prise en compte de la polarisation dans la méthode à haute résolution (MUSIC) permet non seulement de fournir plus d'information sur la cible, mais également d'améliorer sensiblement le pouvoir de résolution