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In this paper, a modified Generalized Cross- Correlation (GCC) technique (or FPT) for time delay estimation (TDE) is described. A flipped parameter (FP) can be defined for any sensor and is estimated during the observation period. Unlike classical TDE methods that evaluate the cross- correlation function, FPT requires flipped correlation evaluation based on each single sensor signal. The proposed technique gives accurate results for both coherent and non- coherent signals with symmetrical spectrum around the central frequency. The use of FPT method is especially significant for distributed sensor networks. The amount of data that needs to be transferred to the fusion center is significantly reduced than in case of classical pairwise algorithms. The main features of the FPT are tested in a noisy simulation environment and the results are compared with classical methods.

The Performance of the Modified GCC Technique for Differential Time Delay Estimation in the Cooperative Sensor Network