scholarly journals Moving source localization with a single hydrophone using multipath time delays in the deep ocean

2014 ◽  
Vol 136 (2) ◽  
pp. EL159-EL165 ◽  
Author(s):  
Rui Duan ◽  
Kunde Yang ◽  
Yuanliang Ma ◽  
Qiulong Yang ◽  
Hui Li
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Deep Ocean ◽  
Moving Source

Source Localization Using Multi-Path Time Delays Measured by Two Hydrophones in the Deep Ocean

2019 ◽  
Vol 105 (1) ◽  
pp. 248-252
Author(s):  
Ran Cao ◽  
Kunde Yang ◽  
Yuanliang Ma ◽  
Qiulong Yang ◽  
Huijun Xia ◽  
...  
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Deep Ocean

LOW COMPLEXITY DOA LIKE HUMAN

2020 ◽  
Author(s):  
Mike Hugo
Keyword(s):  
Time Delays ◽  
Low Complexity ◽  
Moving Source

The proposed \gls{cimpl} strategy is customized toward binaural portable amplifier frameworks with receiver exhibits in every unit. The technique uses the roundabout insights (roundabout mean and round difference) of \gls{impd} across various amplifier sets. These \gls{impd}s are right off the bat mapped to time delays through a difference weighted direct fit, at that point mapped to azimuth \gls{doa} and finally data of various mouthpiece sets is consolidated. The fluctuation is helped through the various changes and goes about as an unwavering quality list of the evaluated point. Both the subsequent edge and fluctuation are taken care of into a wrapped Kalman channel, which gives a smoothed gauge of the \gls{doa}. The proposed strategy improves the exactness of the followed point of a solitary moving source contrasted and the benchmark technique gave by the LOCATA challenge, and it runs around multiple times quicker.

An Improved Closed-Form Method for Moving Source Localization Using TDOA, FDOA, Differential Doppler Rate Measurements

2019 ◽  
Vol E102.B (6) ◽  
pp. 1219-1228 ◽  
Author(s):  
Zhixin LIU ◽  
Dexiu HU ◽  
Yongsheng ZHAO ◽  
Yongjun ZHAO
Keyword(s):  
Closed Form ◽  
Source Localization ◽  
Moving Source ◽  
Differential Doppler

Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering

2016 ◽  
Author(s):  
Harshavardhan Sundar ◽  
Gokul Deepak Manavalan ◽  
T.V. Sreenivas ◽  
Chandra Sekhar Seelamantula
Keyword(s):  
Source Localization ◽  
Moving Source

MICROPHONE ARRAY SYSTEM IN ACOUSTICAL SOURCE LOCALIZATION USING LEAST SQUARE ESTIMATION

1996 ◽  
Vol 06 (06) ◽  
pp. 581-591
Author(s):  
MING JIAN ◽  
ALEX C. KOT ◽  
MENG H. ER
Keyword(s):  
Source Localization ◽  
Time Delays ◽  
Signal To Noise Ratio ◽  
Microphone Array ◽  
Time Delay Estimation ◽  
Least Square ◽  
Delay Estimation ◽  
Signal To Noise ◽  
Least Square Estimation ◽  
Five Elements

In this paper, we address the problem of acoustical source localization using a five-elements microphone array system. The time delay estimation of signal arrival for any given pair of microphones using least square technique is proposed. These estimated time delays are used in the geometric location method to determine the location of the acoustical source which, in our case, is the position of talker of interest. Computer simulations are carried out in a teleconferencing room scenario. It is shown that the location of the acoustical source can be estimated effectively as signal-to-noise ratio is larger than 20 dB in a high reverberation environment.

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