Distributed target location estimation method against suspicious data

Abstract

The invention provides a distributed target location estimation method against suspicious data. The conventional method has the defects of large calculation expenses and a longer estimation process, so that the pertinence to actual application scenarios is lower. In the method, four non-ideal factors, i.e., observation noises, quantization noises, human error data and channel errors, are comprehensively considered, primary reporting data is used, iteration is carried out for multiple times to remove the suspicious data, and a target location is estimated only through remaining data. The method is characterized in that sensors firstly sense target signals, and send data, which is obtained through quantization processing of the target signals, to a fusion center; the fusion center then receives the primary measurement reporting data from the N sensors in a network, iteratively estimates the target location, and removes the suspicious data; and a target location estimation result is finally obtained. The method provided by the invention has the advantages that only the primary observation data is used, the operation is simpler, and the iteration times are few, so that convergence can be rapidly achieved.

Description

technical field [0001] The invention belongs to the field of communication technology, in particular to the field of distributed target position estimation in signal processing, and relates to a distributed target position estimation method against suspicious data. Background technique [0002] Distributed target location estimation is an important application of wireless sensor networks. A typical estimation process is that the network sensor perceives the relevant information of the target (such as the amplitude information of the signal sent by the target), and the sensor performs simple processing on the perceived information (that is, quantization processing), and sends the processed data to the Fusion center; after the fusion center receives the data sent by these sensors, it uses some estimation method to estimate the target position. [0003] There are four shortcomings in the above distributed target position estimation: First, the target signal perceived by the se...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a distributed target position estimation method against suspicious data for the problem that observation noise, quantization noise, channel error, and malicious sensor artificial error data affect the performance of distributed target position estimation

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