Active Detection With a Barrier Sensor Network Using a Scan Statistic

作者：Song Xiufeng^*; Willett Peter; Glaz Joseph; Zhou Shengli

来源：IEEE Journal of Oceanic Engineering, 2012, 37(1): 66-74.

DOI：10.1109/JOE.2011.2176592

• Counting rule test (CRT)
• detection
• detection fusion
• multistatic
• scan statistic
• sensor network
• sonar
• submarine

The cooperation of an active acoustic source and a large number of distributed passive sensors offers an opportunity for active sonar detection. The system works as follows: first, each sensor compares its matched filter output with a given threshold to obtain a binary local decision-%26quot;0%26quot; or %26quot;1%26quot;; then, a fusion center (FC) collects them to make a system-level inference. How effectively to combine these local results-distributed detection fusion-is the concentration of this paper. Suppose that the sensor network is unaware of the target%26apos;s reflection model. Then, the local detection probabilities cannot be obtained; therefore, the optimal fusion rule is unavailable. The obvious detection strategy is a counting rule test (CRT), which simply counts the total number of 1%26apos;s and compares it to a threshold. This approach does not require knowledge of sensor locations, and equally considers all network subareas. However, the reflected signal from some targets, such as a submarine, can be highly aspect dependent, and in many instances only sensors in a particular zone can receive its echoes. This paper focuses on the scan statistic, which slides a window across the sensor field, and selects the subarea with the largest number of 1%26apos;s to make a decision. The scan statistic integrates the aspect-dependence characteristic of the target into detection fusion. With a proper window size, it may suppress the subarea interference, and improve the system-level performance.

• 出版日期2012-1