An Adaptive Eigen-value Based Diagonal Loading Technique to Improve Wideband Direction of Arrival Estimation (DOA) Accuracy for Smart Antenna System.

المؤلفون

  • Taqwa. A. Muhammad College of Electronic Technology, Bani-walid, Libya مؤلف
  • Mohamed, S, Alshulle Military Industries Organization, Bani-walid, Libya مؤلف

DOI:

https://doi.org/10.58916/jhas.v8i3.158

الكلمات المفتاحية:

Coherent Signal Subspace Processing، Incoherent Subspace Processing

الملخص

Abstract: The need for mobile communications is continually expanding, which drives up the demand for greater coverage, more capacity, and enhanced transmission quality. As a result, the radio spectrum needs to be used more effectively. The sort of antenna array that is adaptive Smart antenna systems hold out hope for a viable remedy to the issues with current wireless systems while attaining dependable and robust high-speed high-data-rate transmission. Smart antenna systems are capable of effectively exploiting the radio spectrum. Radars may effectively employ direction of arrival estimation (DOA) algorithms and interference cancellation to rebuild the original received signals and aid in the position determination of those signals. military surveillance, sonars, seismic exploration, and communications systems. Wideband signals are more challenging since they require more data and computer power to solve the same problem. Both fixed diagonal loading and diagonal loading based on Eigenvalues employ fixed diagonal loading factors that are independent of direction inaccuracy. The approaches, known as FDL and EDL, estimate the loading factor by adequately adapting already-presented narrowband beamforming techniques, and they demand perfect knowledge of the steering vector error, just like narrowband techniques do.

Wideband DOA estimation techniques like Incoherent Subspace Processing (ISSM) and Coherent Signal Subspace Processing (CSSM) with Eigen-value Based Diagonal Loading Technique are presented in this study to improve wideband DOA accuracy. A uniform linear array antenna was used to test the mathematical adjustment for various correlated and uncorrelated wideband signals entering at various incoming angles. with knowledge of or an estimate of the incoming signal direction. This document will be processed entirely on a computer using MATLAB.

التنزيلات

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المراجع

P. H. Lehne and M. Pettersen, “An overview of smart antenna technology for mobile communications systems,” IEEE Communications Surveys, vol. 2, no. 4, pp. 2–13, Fall Quarter 1999.

T. Do-Hong, F. Demmel, and P. Russer, “A method for wideband direction-of-arrival estimation using frequency-domain frequency- invariant beamformers,” in IEEE Int. Symp. Antennas and Propagation Dig., 2003.

W. Liu and R. J. Langley, “An adaptive wideband beamforming structure with combined subband decomposition,” IEEE Trans. Antennas Propagat., vol. 57, Jul. 2009.

R. Schmidt, ‘‘Multiple Emitter Location and Signal Parameter Estimation,’’ IEEE Trans. on Antennas and Propagation, Vol. AP-34, No. 3, March 1986.

Wang, H. and Kaveh, M., ‘‘Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources," IEEE Trans. Acoust., Speech, Signal Processing, Aug. 1985.

H. Wang and S. Kay, “A maximum likelihood angle-Doppler estimator using importance sampling,” IEEE Trans. Aerosp. Electron. Syst, Apr. 2010.

M. Alshulli, “Wideband direction of arrival estimation and interference cancellation” PHd thesis, MTC. 2014.

التنزيلات

منشور

2023-09-07

إصدار

القسم

Article

كيفية الاقتباس

Taqwa. A. Muhammad, & Mohamed, S, Alshulle. (2023). An Adaptive Eigen-value Based Diagonal Loading Technique to Improve Wideband Direction of Arrival Estimation (DOA) Accuracy for Smart Antenna System. مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, 8(3), 241-252. https://doi.org/10.58916/jhas.v8i3.158

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