Distributed signal detection realization method based on mutual correlation suitable for wireless sensing network

Abstract

The invention relates to a distributed signal detection realization method based on mutual correlation suitable for a wireless sensing network, which comprises the following steps of: firstly, selecting a convergence node which forms a group with each general node respectively; next, broadcasting a signal received by the convergence node, and carrying out mutual correlation treatment on the received signals of the convergence node and the general node by the general node to find out the peak value of a mutual correlation module value or the peak value of a mutual correlation real part; then, selecting the type of a detection value, and estimating first-order or second-order statistical characteristics of the mutual correlation detection value according to the received data; and then, iteratively searching the optimal local detection rule in the Bayes rules by a thought of equal probability division; finally, detecting and judging if unknown transmitter works by each group of nodes according to the optimal local detection rule. When the signal detection values are correlated, an easily realized method for working out the local optimal judgment rule is provided, so that the distributed detection performance of the wireless sensing network in low signal-to-noise ratio situation is improved.

Description

technical field [0001] The invention relates to a method for realizing distributed signal detection, in particular to a method for realizing distributed signal detection based on mutual correlation, which is suitable for wireless sensor networks. Background technique [0002] At present, the detection, location and tracking (DLT) of unknown transmitters is a difficult problem that must be solved in wireless sensor networks from theory to civilian and military applications. In wireless sensor networks, in order to save network bandwidth and reduce the amount of data transmission between nodes, the distributed processing method is undoubtedly a better choice. Over the past three decades, the distributed detection problem has attracted extensive attention in academia. If the detected values ​​of the signals are independent of each other, then a clear detection rule can be obtained, that is, a determined likelihood ratio threshold. In contrast, if there is a correlation betwee...

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that signal detection is difficult to realize when there is correlation between the detection values ​​of signals. On the basis of existing detection conclusions, the idea of ​​cross-correlation of node pairs and equal probability division is introduced into distributed signal detection. , using the real part or modulus peak value of the observed complex signal as the detection value, making the search for the best detection rule here easy to implement

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