NDLI: Optimal Adaptive Array and Angle Tracking for Multiple Targets - A Re-examination of Optimal Array Processing

Content Provider	IEEE Xplore Digital Library
Author	Huaijin Gu
Copyright Year	2006
Description	Author affiliation: Louisiana Tech. Univ., Ruston, LA (Huaijin Gu)
Abstract	The optimal array for detecting the signal from a desired direction but contaminated by receiver noise and strong interference from different sources with unknown arriving-angles is re-examined. The well-known optimal array is obtained by inverting the covariance matrix of interference and noise to maximize the signal to interference and noise ratio (SINR). In practice, the covariance matrix is unknown and has to be estimated by a sample covariance matrix. The optimal array is thus estimated by inverting the sample covariance matrix. This procedure has been employed in optimal array research without challenge. However, it is shown in this paper that the estimated optimal array fails to yield the highest SINR in the case of unknown arriving-angles. Instead the highest SINR can be achieved by optimally estimating the arriving-angles of interference followed by a constrained matched filter, which maximizes the signal to noise ratio subject to canceling the interference from the estimated arriving-angles. In order to reduce the computational burden, an angle-tracking system for multiple targets is adopted to achieve the optimal estimation of arriving-angles. The resulting system of angle-tracking adaptive array offers the highest SINR at a computational burden only on 2 the order of N middot M2 multiplications within a radar range-cellDeltatau, rather than $N^{3}$ multiplications in the well-known but questionable estimated optimal array. Here N is the number of sensors in the array and M the number of interference sources. Typically, N = 1,000 in a planar radar array, M = 2-10 and Deltatau = 1 mus. Numerical simulations confirm the theoretical results
Starting Page	171
Ending Page	175
File Size	646922
Page Count	5
File Format	PDF
ISBN	1424403081
DOI	10.1109/SAM.2006.1706115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive arrays Target tracking Array signal processing Signal to noise ratio Interference Covariance matrix Sensor arrays Radar tracking Signal detection Yield estimation
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

Angle-Tracking Adaptive Array -- Adaptive-Adaptive Array Processing

Adaptive space-time processing for interference suppression in phased array radar systems. II. Tracking radar

Adaptive digital beamforming for preserving monopulse target angle estimation accuracy in jamming

A pragmatic approach to adaptive antennas and space-time adaptive processing (STAP)

Beamspace domain ML based low angle radar tracking with an array of antennas

Instrumental variable adaptive array processing

Signal Subspace Projection Methods of Adaptive Sensor Array Processing

Evaluation of antenna architectures for angle estimation of endo-clutter targets in airborne adaptive radars

Speech enhancement via covariance estimation using Hermitian angle in adaptive beamforming

Optimal Adaptive Array and Angle Tracking for Multiple Targets - A Re-examination of Optimal Array Processing

Similar Documents

Angle-Tracking Adaptive Array -- Adaptive-Adaptive Array Processing

Adaptive space-time processing for interference suppression in phased array radar systems. II. Tracking radar

Adaptive digital beamforming for preserving monopulse target angle estimation accuracy in jamming

A pragmatic approach to adaptive antennas and space-time adaptive processing (STAP)

Beamspace domain ML based low angle radar tracking with an array of antennas

Instrumental variable adaptive array processing

Signal Subspace Projection Methods of Adaptive Sensor Array Processing

Evaluation of antenna architectures for angle estimation of endo-clutter targets in airborne adaptive radars

Speech enhancement via covariance estimation using Hermitian angle in adaptive beamforming

Optimal Adaptive Array and Angle Tracking for Multiple Targets - A Re-examination of Optimal Array Processing