NDLI: Broadband ML estimation under model order uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Pei-Jung Chung Viberg, M. Mecklenbrauker, C.F.
Copyright Year	2009
Description	Author affiliation: Inst. of Communications and RF Engineering, Vienna University of Technology, Austria (Mecklenbrauker, C.F.) \|\| Dept. of Signals and Systems, Chalmers University of Technology, Sweden (Viberg, M.) \|\| Institute for Digital Communications, The University of Edinburgh, UK (Pei-Jung Chung)
Abstract	The number of signals plays a crucial role in array processing. The performance of most direction finding algorithms relies strongly on a correctly specified number of signals. When this information is not available, conventional approaches apply information theoretic criteria or multiple hypothesis tests to simultaneously estimate model order and parameter. These methods are usually computationally intensive, since ML estimates are required for a hierarchy of nested models. In the previous work [1], we proposed a computationally efficient solution to avoid this full search procedure and demonstrated its feasibility by extensive simulations. Here we extend [1] to broadband data, and address issues unique to the broadband case. Our max-search approach computes ML estimates only for the maximally hypothesized number of signals, and selects relevant components through hypothesis testing. Another novelty of this work is the reduction of indistinguishable components caused by overparameterization. Our approach is based on the rank of the estimated steering matrix. Numerical experiments show that despite an unknown number of signals, the proposed method achieves comparable estimation and detection accuracy as standard methods, but at much lower computational expense.
Starting Page	2121
Ending Page	2124
File Size	132198
Page Count	4
File Format	PDF
ISBN	9781424423538
ISSN	15206149
DOI	10.1109/ICASSP.2009.4960035
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-19
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Uncertainty Testing Direction of arrival estimation Narrowband Sensor arrays RF signals Signal processing Array signal processing Computational modeling overparameterized models broadband signals maximum likelihood estimation direction of arrival unknown number of signals
Content Type	Text
Resource Type	Article

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

A Max-Search Approach for DOA Estimation With Unknown Number of Signals

ML Estimation under Misspecified Number of Signals

ML estimation and CRB for narrowband AR signals on a sensor array

Signal waveform estimation in sensor array processing

Stochastic Maximum Likelihood Estimation Under Misspecified Numbersof Signals

More on ML Estimation Under Misspecified Numbers of Signals

Asymptotic results for sensor array processing

High-resolution sensor array processing in the presence of multiple wideband chirp signals

Maximum likelihood separation of phase modulated signals

Broadband ML estimation under model order uncertainty

Similar Documents

A Max-Search Approach for DOA Estimation With Unknown Number of Signals

ML Estimation under Misspecified Number of Signals

ML estimation and CRB for narrowband AR signals on a sensor array

Signal waveform estimation in sensor array processing

Stochastic Maximum Likelihood Estimation Under Misspecified Numbersof Signals

More on ML Estimation Under Misspecified Numbers of Signals

Asymptotic results for sensor array processing

High-resolution sensor array processing in the presence of multiple wideband chirp signals

Maximum likelihood separation of phase modulated signals

Broadband ML estimation under model order uncertainty