Multiple vehicle acoustic signal based on particle filtering in wireless sensor network

A wireless sensor and particle filtering technology, applied in the field of multi-vehicle acoustic signal separation based on particle filtering, can solve the problem of high computational complexity

Inactive Publication Date: 2008-09-03
JIAXING WIRELESS SENSOR NETWORKS CENT CAS
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  • Abstract
  • Description
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Problems solved by technology

However, this algorithm has high computational complexity and has certain ambiguity.

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  • Multiple vehicle acoustic signal based on particle filtering in wireless sensor network
  • Multiple vehicle acoustic signal based on particle filtering in wireless sensor network
  • Multiple vehicle acoustic signal based on particle filtering in wireless sensor network

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Embodiment Construction

[0019] see figure 1 , the vehicle acoustic signal separation method based on particle filter in the intelligent transportation system based on wireless sensor network of the present invention mainly comprises the following steps:

[0020] Step 1: In a wireless sensor network, the sensor node with the function of acoustic signal acquisition collects the mixed acoustic signals emitted by multi-target moving vehicles within the detection range. Detect the acoustic signal s emitted by the mth moving vehicle within the target range t (m) is modeled as a time-varying autoregressive process: s t ( m ) = θ t ( m ) T S t , p ( m ) + ...

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Abstract

The invention discloses a multi-vehicle signal separation method of wireless sensor network based on particle filter, comprising the steps of: collecting and detecting a sound mixing signal sent by the multi-target motion vehicle in scale by the sensing node, then initializing parameters of sequence important sampling method including particle number, span and weight of each particle and determining signal mixing matrix and prior probability function according to the system parameters, then obtaining the posterior probability function by Bayesian theory, calculating weight of each particle and normalizing to obtain normalized weight of each particle, then re-sampling the particle according to threshold value set, calculating a sound signal value of present time by weighing of all particles, repeating, finally obtaining estimation value of the sound value of all times to separate the multi-vehicle sound signal. The method of the invention is capable of processing non-Gaussian, non-linear mode and sound signal of non-stationary vehicle, which is easy to accomplish.

Description

technical field [0001] The invention relates to an intelligent transportation system, in particular to a method for separating acoustic signals of multiple vehicles based on particle filtering in a wireless sensor network. Background technique [0002] In recent years, tremendous developments in the fields of integrated circuits, wireless communications, and micro-opto-electromechanical systems have enabled the production of low-power, low-cost sensing nodes with signal processing and wireless communication capabilities. A wireless sensor network composed of a large number of these sensor nodes is often arranged to detect, classify, locate and track one or more targets in a specific application environment. [0003] Vehicle classification is an important signal processing task with a wide range of military and civilian applications, such as intelligent transportation systems. Although some prior art solutions have proposed solutions to the vehicle classification problem, mo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/017G06F17/00
Inventor 严凯丁盛邱云周朱明华王营冠刘海涛
Owner JIAXING WIRELESS SENSOR NETWORKS CENT CAS
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