Statistical modeling of interferometric signals in underwater applications

Gerard Llort; Christophe Sintes

doi:10.1117/12.818457

11 May 2009 Statistical modeling of interferometric signals in underwater applications

Gerard Llort, Christophe Sintes

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73361G (2009) https://doi.org/10.1117/12.818457
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Current sonar and radar applications use interferometry to estimate the arrival angles of backscattered signals at time-sampling rate. This direction-finding method is based on a phase-difference measurement between two close receivers. To quantify the associated bathymetric measurement quality, it is necessary to model the statistical properties of the interferometric-phase estimator. Thus, this paper investigates the received signal structure, decomposing it into three different terms: a part correlated on the two receivers, an uncorrelated part and an ambient noise term. This paper shows that the uncorrelated part and the noise term can be merged into a unique, random term damaging the measurement performance. Concerning the correlated part, its modulus can be modeled either as a random or a constant variable according to the type of underwater acoustic application. The existence of these two statistical behaviors is verified on real data collected from different underwater scenarios such as a horizontal emitter-receiver communication and a bathymetric seafloor survey. The physical understood of the resulting phase distributions makes it possible to model and simulate the interferometric-signal variance (associated with the measurement accuracy) according to the underwater applications through simple hypotheses.

Citation Download Citation

Gerard Llort and Christophe Sintes "Statistical modeling of interferometric signals in underwater applications", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73361G (11 May 2009); https://doi.org/10.1117/12.818457

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