RSSD Based MSE-SDP Source Localization with Unknown Position Estimation Bias

Author(s):  
Hannan Lohrasbipeydeh ◽  
T. Aaron Gulliver
2016 ◽  
Vol 13 (10) ◽  
pp. 7319-7323
Author(s):  
Mei Yun

How to improve the performance of multiple sound source localization method, this paper studies the parameter and process design in multiple sound source position. First, it divides a signal into several sub-frames, and it calculates signal variation; then it uses the clustering algorithm to divide the estimated values into several categories; finally it calculates the final sound source location estimation. Experimental results show that the positioning algorithm is effective. There are many parameters will affect the gunfire correct rate and error rate, the parameters and angle selection will affect sound source position estimation.


Author(s):  
Toshihiro HORI ◽  
Tomotaka WADA ◽  
Norie UCHITOMI ◽  
Kouichi MUTSUURA ◽  
Hiromi OKADA

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