An algebraic geometry approach to passive source localization

2019 ◽  
Vol 146 (4) ◽  
pp. 3059-3059
Author(s):  
Margaret Cheney ◽  
Ivars P. Kirsteins
Keyword(s):  
Algebraic Geometry ◽  
Source Localization ◽  
Passive Source Localization

TDOA and RSSD Based Hybrid Passive Source Localization with Unknown Transmit Power

2018 ◽  
Vol 66 (4) ◽  
pp. 533-545
Author(s):  
Zengfeng Wang ◽  
Hao Zhang ◽  
Tingting Lu ◽  
Xing Liu ◽  
Zhaoqiang Wei ◽  
...  
Keyword(s):  
Source Localization ◽  
Transmit Power ◽  
Passive Source Localization

Optimal passive source localization in a fluctuating ocean waveguide based on an analytic model for the mean field and covariance

2004 ◽  
Vol 115 (5) ◽  
pp. 2473-2473 ◽  
Author(s):  
Purnima Ratilal ◽  
Ioannis Bertsatos ◽  
Tianrun Chen ◽  
Michele Zanolin ◽  
Nicholas C. Makris
Keyword(s):  
Source Localization ◽  
Mean Field ◽  
Analytic Model ◽  
Passive Source Localization ◽  
The Mean

scholarly journals Flipped parameter technique applied on source localization in energy constraint sensor arrays

2009 ◽  
Vol 7 (1) ◽  
pp. 7-22
Author(s):  
Vlastimir Pavlovic ◽  
Zoran Velickovic
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Cross Correlation ◽  
Sensor Arrays ◽  
Time Delay Estimation ◽  
Peak Time ◽  
Coherent Signals ◽  
Distributed Sensor ◽  
Passive Source Localization ◽  
Single Sensor

In this paper novel flipped parameter technique (FPT) for time delay estimation (TDE) in source localization problem is described. We propose passive source localization technique based on the development of an energy efficient algorithm that can reduce intersensor and interarray communication. We propose a flipped parameter (FP) which can be defined for any sensor in distributed sensor subarrays during the observation period. Unlike classical TDE methods that evaluate cross-correlation function, FPT requires evaluation based upon single sensor signal. The computed cross correlation between a signal and its analytic 'flipped' pair (flipped correlation) is a smooth function which peak (time delay) can be accurately detected. Flipped parameters are sufficient to determine all differential delays of the signals related to the same source. The flipped parameter technique can be used successfully in two-step methods of passive source localization with significantly less energy in comparison to the classic cross correlation. The use of FPT method is especially significant for the energy constrain distributed sensor subarrays. Using synthetic seismic signals, we illustrate the error of the source localization for classical and proposed method in the presence of noise. We demonstrate the performance improvement in noise environment of the proposed technique in comparison to the classic methods that use real signals. The proposed technique gives accurate results for both coherent and non-coherent signals.

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