MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm

نویسندگان

  • Pallavi Agrawal
  • Madhu Shandilya
  • HongY Wang
  • Xianda Zhang
  • Zheng Bao
  • Harry B. Lee
  • Fei Wen
  • Qun Wan
  • Rong Fan
  • Hewen Wei
  • Demba E. Ba
  • Dinei Florencio
چکیده

Over the past decades there has been technological breakthrough from analog to digital. Ever since the world war and also the invention of electromagnetic radio, there has always been an urge to know from which direction the signals were arriving to the listener’s direction finding receiver. The methodology of determining the direction of arrival (DOA) of incoming signals impinging on the uniform antenna array has drastically changed from conventional methods to subspace based methods. The main goal of this paper is to provide a comparative study of various classical multi-channel DOA algorithms and subspace based high resolution multi-channel DOA algorithms for multiple signals which are arriving at different DOA. Also detailed algorithm analysis and performance evaluation for subspace based multiple signal classification (MUSIC) algorithm is provided. It is shown that subspace based high resolution multi-channel MUSIC algorithm is statistically efficient and is a promising method for use against military communication in an electronic warfare direction finding system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Implementation of the direction of arrival estimation algorithms by means of GPU-parallel processing in the Kuda environment (Research Article)

Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...

متن کامل

DOA Estimation Algorithm for Smart Antennas-An Investigation

High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of int...

متن کامل

Performance Evaluation of DOA Estimation using MATLAB

This paper presents the performance analysis of directions of arrival estimation techniques, Subspace and the Non-Subspace methods. In this paper, exploring the Eigen-analysis category of high resolution and super resolution algorithms, presentation of description, comparison and the performance and resolution analyses of these algorithms are made. Sensitivity to various perturbations and the e...

متن کامل

MATLAB Simulation of Subspace based High Resolution

Over the past decades there has been technological breakthrough from analog to digital. Ever since the world war and also the invention of electromagnetic radio, there has always been an urge to know from which direction the signals were arriving to the listener‟s direction finding receiver. The methodology of determining the direction of arrival (DOA) of incoming signals impinging on the unifo...

متن کامل

Performance Evaluation of Direction of Arrival Estimation Using Matlab

This paper presents the performance analysis of directions of arrival estimation techniques, Subspace and the Non-Subspace methods. In this paper, exploring the Eigen-analysis category of high resolution and super resolution algorithms, presentation of description, comparison and the performance and resolution analyses of these algorithms are made. Sensitivity to various perturbations and the e...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016