Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Accurate estimation of DOA and MAI mitigation in the presence of channel impairments at low SNR

Accurate estimation of DOA and MAI mitigation in the presence of channel impairments at low SNR Environmental effects may cause antenna array element positions to become disturbed, introducing array shape uncertainties. The presence of these uncertainties causes a rapid degradation in the detection, resolution and estimation performance of array processing algorithms. In this paper, the performance of the Multiple Signal Classification - Direction of Arrival (DOA) algorithm for estimating the direction of the incident angles of all the received signals impinging on the antenna array elements is analysed at low Signal to Noise Ratio (SNR). The investigation is achieved under different scenarios such as changing the number of antenna array elements at different values of SNR. The root mean square error of the estimated angles is computed and compared with the true angles of the desired user. The simulation results assure that in the presence of the reference signal, the DOA algorithm can identify the direction of the desired user with high accuracy and high resolution. Moreover, the Affine Projection Algorithm (APA) is implemented to enhance the accuracy of the estimated direction in order to generate a main beam towards the desired user and null towards interfering users. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Vehicle Information and Communication Systems Inderscience Publishers

Accurate estimation of DOA and MAI mitigation in the presence of channel impairments at low SNR

Loading next page...
 
/lp/inderscience-publishers/accurate-estimation-of-doa-and-mai-mitigation-in-the-presence-of-7tBxReNLv0

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1471-0242
eISSN
1741-8208
DOI
10.1504/IJVICS.2019.102226
Publisher site
See Article on Publisher Site

Abstract

Environmental effects may cause antenna array element positions to become disturbed, introducing array shape uncertainties. The presence of these uncertainties causes a rapid degradation in the detection, resolution and estimation performance of array processing algorithms. In this paper, the performance of the Multiple Signal Classification - Direction of Arrival (DOA) algorithm for estimating the direction of the incident angles of all the received signals impinging on the antenna array elements is analysed at low Signal to Noise Ratio (SNR). The investigation is achieved under different scenarios such as changing the number of antenna array elements at different values of SNR. The root mean square error of the estimated angles is computed and compared with the true angles of the desired user. The simulation results assure that in the presence of the reference signal, the DOA algorithm can identify the direction of the desired user with high accuracy and high resolution. Moreover, the Affine Projection Algorithm (APA) is implemented to enhance the accuracy of the estimated direction in order to generate a main beam towards the desired user and null towards interfering users.

Journal

International Journal of Vehicle Information and Communication SystemsInderscience Publishers

Published: Jan 1, 2019

There are no references for this article.