Method for establishing passive target measurement model based on wireless sensor network

Abstract

The invention discloses a method for establishing a passive target measurement model based on a wireless sensor network. The method is characterized by comprising the following steps: 1. computing the position relations of the target position relative to wireless sensor nodes, thus obtaining an ellipse with the wireless sensor nodes i and j as the focuses; and 2. determining attenuation of the wireless signal from the wireless sensor node i to the wireless sensor node j. The method has the following advantages and positive effects: the passive target measurement model is established by judging the position relations of the pre-estimated target position relative to the wireless sensor nodes and computing attenuation of the strength of the signal received in the position, thus overcoming the restriction to pixeling treatment of the monitored area, greatly adding the application context in target positioning and tracking, avoiding pre-pixeling treatment from being carried out on the monitored area and reducing artificially introduced quantization errors, so better positioning and tracking precision can be achieved.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a method for establishing a passive target measurement model based on wireless sensor networks. Background technique [0002] Target localization and tracking is one of the main research directions of wireless sensor networks. Since the radio frequency signal sent by the wireless sensor network has a certain penetration, the positioning and tracking system based on the wireless sensor network can locate and track people and objects through the obstacles of walls, thick smoke and other objects. The propagation of radio frequency signals is not affected by light, so it can be used for target positioning and tracking no matter in indoor scenes that lack light such as nights, warehouses, and basements. [0003] Early target positioning and tracking methods based on wireless sensor networks are mainly suitable for active targets, that is, targets must carry wireless sensor nod...

AI Technical Summary

Problems solved by technology

However, this method still has the following three problems: 1. It is necessary to pixelate the monitoring area, that is, the monitoring area needs to be regarded as a graphic, which adds restrictions to the shape of the monitoring area; 2. Pixelating the monitoring area The process of processing makes the positioning result in the center of a certain pixel, which artificially increases the quantization noise and reduces the positioning and tracking accuracy; 3. The attenuation of the signal by the target is binarized and distinguished, which brings a large quantization error, therefore, limits its application range and accuracy

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