Adaptive noise estimation algorithm for speech enhancement

2003 ◽  
Vol 39 (9) ◽  
pp. 754 ◽  
Author(s):  
L. Lin ◽  
W.H. Holmes ◽  
E. Ambikairajah
Keyword(s):  
Speech Enhancement ◽  
Estimation Algorithm ◽  
Noise Estimation ◽  
Adaptive Noise

Cooperative Localisation of AUVs based on Huber-based Robust Algorithm and Adaptive Noise Estimation

2019 ◽  
Vol 72 (04) ◽  
pp. 875-893 ◽  
Author(s):  
Xu Bo ◽  
Asghar. A. Razzaqi ◽  
Liu Yalong
Keyword(s):  
Autonomous Underwater Vehicles ◽  
Estimation Algorithm ◽  
Performance Comparison ◽  
Noise Estimation ◽  
Robust Algorithm ◽  
Cooperative Positioning ◽  
Adaptive Noise ◽  
The Stability ◽  
Non Gaussian ◽  
Positioning Algorithm

In this paper, adaptive noise estimation is used along with a previously proposed Huber-based robust algorithm for cooperative localisation of Autonomous Underwater Vehicles (AUVs). The Huber-based robust cooperative localisation algorithm named Huber-based Iterative Divided Difference Filtering (HIDDF), proposed in our previous work, effectively achieved a robust result against abnormal measurement noise, enhanced the stability of the filtering algorithm and improved the performance of cooperative localisation state estimation. However, its performance could be significantly further improved if it could estimate the system's noise statistical properties online in real time and then adaptively adjust the filtering gain matrix accordingly. In this paper, a novel adaptive noise estimation algorithm is proposed based on a covariance matching method. The proposed algorithm is suitable for adaptively estimating Gaussian and non-Gaussian measurement as well as process noise. The efficacy of the proposed algorithm has been verified through simulation results. In order to further verify the effectiveness of the proposed algorithm in practical systems, lake tests were conducted. Then, based on offline test data, the performance of the cooperative positioning algorithm under dual-pilot and single-pilot schemes was simulated. The advantages and feasibility of the algorithm are analysed and compared through performance comparison. Cooperative localisation accuracy of the previously proposed Huber-based robust algorithm has been enhanced significantly when used with the proposed adaptive noise estimation algorithm.

Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

2012 ◽  
Vol E95-B (4) ◽  
pp. 1076-1084 ◽  
Author(s):  
Janne J. LEHTOMÄKI ◽  
Risto VUOHTONIEMI ◽  
Kenta UMEBAYASHI ◽  
Juha-Pekka MÄKELÄ
Keyword(s):  
Energy Detection ◽  
Noise Estimation ◽  
Occupancy Rate ◽  
Adaptive Noise ◽  
Channel Occupancy
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