Detection Capacities of Distributed and Centralized Systems: A Comparative Study

Distributed systems using many inexpensive sensors widely distributed over a large area present an alternative way for target detection and potential paradigm change in environmental sensing. The diversity of opportunities for detection by widely distributed sensors seems attractive, but how one compares the detection performance based on the observations made from many distributed sensors, each with small gain, with that from a centralized system with a high array gain has not been studied theoretically or experimentally. Treating the target-radiated signal as a communication signal, transmitting continuous Gaussian-distributed alphabets, the Shannon channel capacity yields the maximum information that the receivers can learn about the (target) transmitted signal. For this idea case, the channel capacity can then be used as a metric to compare the performance of various sensor systems. Matched track processing is introduced to motivate a capacity-based detector and the corresponding detection capacity. Based on that, it is found that the distributed systems can achieve, in principle, an area of coverage two to three times larger than that of a centralized system under the right conditions, and the area of coverage by the entire system can be significantly larger than the sum of detection areas of individual nodes for distributed systems.

[1]  Henri H. Arsenault,et al.  Nonlinear radial-harmonic correlation using binary decomposition for scale-invariant pattern recognition , 2003 .

[2]  J.R. Buck,et al.  Fading Channel Capacity and Passive Sonar Performance Bounds , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[3]  John R. Buck.  Information theoretic bounds on source localization performance , 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

[4]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[5]  T. C. Yang,et al.  Broadband source localization in shallow water in the presence of internal waves , 1999 .

[6]  J D Tucker,et al.  Coherence-Based Underwater Target Detection From Multiple Disparate Sonar Platforms , 2011, IEEE Journal of Oceanic Engineering.

[7]  Thomas J Hayward,et al.  Single- and multi-channel underwater acoustic communication channel capacity: a computational study. , 2006, The Journal of the Acoustical Society of America.

[8]  Piers Messum.  Mirroring, not imitation, for the early learning of L1 pronunciation , 2007 .

[9]  Robin J. Evans,et al.  Peformance of dynamic programming techniques for Track-Before-Detect , 1996 .

[10]  A. Tolstoy,et al.  Matched Field Processing for Underwater Acoustics , 1992 .

[11]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[12]  T. C. Yang.  Measurements of temporal coherence of sound transmissions through shallow water , 2006 .

[13]  Arthur B. Baggeroer,et al.  An overview of matched field methods in ocean acoustics , 1993 .