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Experimental Results: Detection and Tracking of Low SNR Sinusoids Using Real-Time LMS and RLS Lattice Adaptive Line Enhancers.

ADA240245

Publication Date	1991
Personal Author	Albert, T. R.; Abusalem, H.; Juniper, M. D.
Page Count	7
Abstract	The structure traditionally used in Adaptive Line Enhancer (ALE) applications is the transversal filter form of Widrow's Least Mean Square (LMS) algorithm. It has been reasoned that an ALE implemented with the Recursive Least Squares Lattice (RLS Lattice) Algorithm may offer advantages over LMS implementations. The expected advantages include faster convergence, improved tracking of dynamic signals, and reduced sensitivity to eigenvalue spread of the input data's correlation matrix. The work reported in this paper is a comparison of the detection and tracking performance of ALEs implemented with the traditional LMS Transversal and the RLS Lattice algorithms. The comparison is based on experimental results obtained from a real time custom hardware system using 32-bit IEEE floating point format operating on stationary and non-stationary sinusoids with added broadband noise.
Keywords	Adaptive systems Algorithms Broadband Comparison Convergence Detection Dynamics Eigenvalues Electromagnetic wave filters Floating point operation Formats Least squares method Mean Noise Real time Reduction Sensitivity Signals Tracking Transverse waves Acoustic detection Acoustic tracking Acoustic filters Experimental data
Source Agency	Non Paid ADAS
NTIS Subject Category	63A - Acoustic Detection
Corporate Authors	Naval Ocean Systems Center, San Diego, CA.
Document Type	Technical Report
Title Note	Professional paper.
NTIS Issue Number	199124

Experimental Results: Detection and Tracking of Low SNR Sinusoids Using Real-Time LMS and RLS Lattice Adaptive Line Enhancers.

Experimental Results: Detection and Tracking of Low SNR Sinusoids Using Real-Time LMS and RLS Lattice Adaptive Line Enhancers.
ADA240245

Publication Date	1991
Personal Author	Albert, T. R.; Abusalem, H.; Juniper, M. D.
Page Count	7
Abstract	The structure traditionally used in Adaptive Line Enhancer (ALE) applications is the transversal filter form of Widrow's Least Mean Square (LMS) algorithm. It has been reasoned that an ALE implemented with the Recursive Least Squares Lattice (RLS Lattice) Algorithm may offer advantages over LMS implementations. The expected advantages include faster convergence, improved tracking of dynamic signals, and reduced sensitivity to eigenvalue spread of the input data's correlation matrix. The work reported in this paper is a comparison of the detection and tracking performance of ALEs implemented with the traditional LMS Transversal and the RLS Lattice algorithms. The comparison is based on experimental results obtained from a real time custom hardware system using 32-bit IEEE floating point format operating on stationary and non-stationary sinusoids with added broadband noise.
Keywords	Adaptive systems Algorithms Broadband Comparison Convergence Detection Dynamics Eigenvalues Electromagnetic wave filters Floating point operation Formats Least squares method Mean Noise Real time Reduction Sensitivity Signals Tracking Transverse waves Acoustic detection Acoustic tracking Acoustic filters Experimental data
Source Agency	Non Paid ADAS
NTIS Subject Category	63A - Acoustic Detection
Corporate Authors	Naval Ocean Systems Center, San Diego, CA.
Document Type	Technical Report
Title Note	Professional paper.
NTIS Issue Number	199124