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The Improvement of Correlated Identification Based on Inverted-repeated M-sequence Signal
Received date: 2010-07-20
Online published: 2025-05-30
When inverted-repeated M-sequence is operating as input signal in test, the conventional method always increase the se¯quence length N for higher accuracy, this will require higher level of system hardware. The traditional correlation identification was researched in this paper. Then the modified correlation identification based on the least square method with amnesic factor was designed. Simulation results indicate that without cutting down the single sequence time, the modified method has higher accuracy and anti-interference without increasing the sequence length. So the modified method will be widely used in parameter identification engineering in future.
HUANG Jinfeng , ZHANG Hexin , LI Xuyuan . The Improvement of Correlated Identification Based on Inverted-repeated M-sequence Signal[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(3) : 227 -231 . DOI: 10.15892/j.cnki.djzdkb.2011.03.068
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