Direction of Arrival Estimation using Modified MUSIC Algorithm in FMCW Radar Application

Authors

  • Naseemuddin Ansari, V.K. Sharma, Sanjeev Sharma

Abstract

: Array signal processing is eminent field of signal processing. In modern years, scope is significantly increased. It can be used in areas like radio and range detection, biomedicine, earthquake, exploration, sonar, astronomy and communication. Array signal processing field may be classified as a self-adaptation signal processing array and a three-dimensional spectrum, where the theory and technology of spatial spectrum estimation are yet in an uplifting state and become a key attribute of the array signal processing. The spectrum estimates of the spatial is focused on researching the multiple sensor arrays system, in order to calculate the three-dimensional parameters of the signal source and the signal. The space range reflects signal allocation from all angles to the recipient throughout the room. Therefore, the direction of arrival (DOA) can be achieved in case the received signal has spatial spectrum. Like that, the DOA estimate is also called spatial spectrum estimate. In array signal processing, that is an interdisciplinary technology that is quickly evolving over the past few years, DOA technology study is essential, particularly the direction of entry with various sources of data; the evaluation of consistent source signals and DOA measurement of broadband signals. In the area of radar, sonar, communication, seismology measurements and biomedicine, DOA estimates are broad applications. In recent years, the most classical algorithm, MUSIC, which includes multiple-signal classification, all sorts of algorithms that can be used in the DOA assessment have achieved excellent success.

This paper gives a general summary of the MUSIC algorithm-based DOA estimate and its parameter. An improved MUSIC algorithm is proposed to give more accurate frequency estimation.

Keywords: DOA estimation; spatial spectrum; MUSIC algorithm

Published

2020-12-16

Issue

Section

Articles