Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan

• Published in: IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
• Main Authors: Andriyan Permana, Agfianto Eko Putra, Catur Atmaji
• Format: Article in Journal/Newspaper
• Language: Indonesian
• Published: Universitas Gadjah Mada 2015
• Subjects: TDOA estimation; adaptive LMS; convergence factor; sperm whale tracking; Electronics; TK7800-8360; Control engineering systems. Automatic machinery (General); TJ212-225; Sperm whale
• Online Access: https://doi.org/10.22146/ijeis.7149; https://doaj.org/article/76c3bb4be58745d0933d1c5806aee220

Research on TDOA estimation in sperm whale tracking has been done [1] that uses the Teager - Kaiser operator in improving accuracy the TDOA estimation using adaptive LMS algorithm on sperm whale tracking. However, further researches on the right convergence factor (μ) (fast and accurate) in TDOA estimation using adaptive LMS algorithms for sperm whale tracking have not been performed. Will be analyzed the TDOA estimation using adaptive LMS algorithm in sperm whale tracking with the variation of μ. As a reference to determine the right value of μ, the results of sperm whale tracking[2] is used. TDOA estimation using Adaptive LMS algorithm was first published by Benesty [3]. The approach taken is based on estimation of the impulse responses from source to receivers. In the adaptive LMS algorithm function updates the coefficient with μ as adaptation step. TDOA values obtained from the difference between the two impulse responses. From the results, values changing of μ affect the speed of TDOA estimation using the LMS adaptive algorithm. However, the wrong value of μ is lead to inaccurate sperm whale tracking results. The best value of μ for TDOA estimation using the LMS adaptive algorithm for sperm whale tracking is 0.01.