NDLI: DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri

Content Provider	IEEE Xplore Digital Library
Author	Wing-Kin Ma Tsung-Han Hsieh Chong-Yung Chi
Copyright Year	1991
Abstract	In real-world applications such as those for speech and audio, there are signals that are nonstationary but can be modeled as being stationary within local time frames. Such signals are generally called quasi-stationary or locally stationary signals. This paper considers the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals. Specifically, in our problem formulation we assume: i) sensor array of uniform linear structure; ii) mutually uncorrelated wide-sense quasi-stationary source signals; and iii) wide-sense stationary noise process with unknown, possibly nonwhite, spatial covariance. Under the assumptions above and by judiciously examining the structures of local second-order statistics (SOSs), we develop a Khatri-Rao (KR) subspace approach that has two notable advantages. First, through an identifiability analysis, it is proven that this KR subspace approach can operate even when the number of sensors is about half of the number of sources. The idea behind is to make use of a ¿virtual¿ array structure provided inherently in the local SOS model, of which the degree of freedom is about twice of that of the physical array. Second, the KR formulation naturally provides a simple yet effective way of eliminating the unknown spatial noise covariance from the signal SOSs. Extensive simulation results are provided to demonstrate the effectiveness of the KR subspace approach under various situations.
Sponsorship	IEEE Signal Processing Society
Starting Page	2168
Ending Page	2180
Page Count	13
File Size	1407272
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Sensor arrays Signal processing Statistics Semiconductor device noise Councils Speech processing Microphone arrays Array signal processing Birds unknown noise covariance Khatri–Rao subspace Kruskal-rank quasi-stationary signals (QSS) second-order statistics underdetermined direction-of-arrival (DOA) estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

DOA estimation of quasi-stationary signals via Khatri-Rao subspace

DOA ESTIMATION OF QUASI-STATIONARY SIGNALS VIA KHATRI-RAO SUBSPACE

2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach

Underdetermined DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Array

Underdetermined DOA estimation of quasi-stationary signals with unknown spatial noise covariance: A Khatri-Rao subspace approach,” submitted to (2008)

Underdetermined Direction-of-Arrival estimation from second order statistics

Search free algorithms for DOA estimation of quasi-stationary signals

Direction of Arrival (DOA) Estimation Using Khatri-Rao Subspace

Employing moments of multiple high orders for high-resolution underdetermined DOA estimation based on MUSIC

DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace Approach

Similar Documents

DOA estimation of quasi-stationary signals via Khatri-Rao subspace

DOA ESTIMATION OF QUASI-STATIONARY SIGNALS VIA KHATRI-RAO SUBSPACE

2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach

Underdetermined DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Array

Underdetermined DOA estimation of quasi-stationary signals with unknown spatial noise covariance: A Khatri-Rao subspace approach,” submitted to (2008)

Underdetermined Direction-of-Arrival estimation from second order statistics

Search free algorithms for DOA estimation of quasi-stationary signals

Direction of Arrival (DOA) Estimation Using Khatri-Rao Subspace

Employing moments of multiple high orders for high-resolution underdetermined DOA estimation based on MUSIC

DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace Approach