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- W1981932019 abstract "Distributed systems using many sensors widely distributed over a large area present an alternative way for target detection and environmental sensing. The diversity of opportunities for detection by widely distributed sensors seems attractive but the signals received on distributed sensors are usually not coherent due to the wide separations between the receivers. Hence, conventional approaches based on signal coherence/gain no longer apply. In this paper, information theory will be used to compare their performance. 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. The channel capacity can then be used as a metric to compare the performance of various sensor systems in the ideal case. Matched tracking processing is introduced to motivate a capacity-based detector and 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." @default.
- W1981932019 created "2016-06-24" @default.
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- W1981932019 date "2013-11-01" @default.
- W1981932019 modified "2023-10-18" @default.
- W1981932019 title "Performance comparison of distributed and centralized systems based on information" @default.
- W1981932019 doi "https://doi.org/10.1121/1.4830892" @default.
- W1981932019 hasPublicationYear "2013" @default.
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