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Object identification method based on UWB communication signals

A recognition method and signal technology, which is applied in the field of target recognition combining communication and pattern recognition, can solve the problems of low classification and recognition rate of wireless sensor networks, and is easily affected by the actual channel environment, so as to achieve low hardware implementation complexity and overcome disadvantages Influence, the effect of improving practicality

Inactive Publication Date: 2014-03-26
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the existing wireless sensor network has a low classification recognition rate and is easily affected by the actual channel environment

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  • Object identification method based on UWB communication signals
  • Object identification method based on UWB communication signals
  • Object identification method based on UWB communication signals

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Embodiment Construction

[0026] The present invention will be described in further detail below with reference to the drawings and drawings, but the embodiments of the present invention are not limited thereto.

[0027] The principle of target recognition system based on UWB-MIMO is as follows: figure 1 As shown, the monitoring range of the target detection method of the present invention is the spatial area between any two nodes, and the target is identified by means of pattern recognition through the difference between the influence of different targets on each UWB-MIMO channel in the area. Firstly, in the data communication stage, the transmitting node modulates the transmitted signal into a pulse signal suitable for both communication and identification through the pulse modulation module 102. After passing through the pulse amplification module 103, different antennas 104 are used to transmit mutually orthogonal pulse waveforms. Different antennas transmit the same symbol at the same time. After ...

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Abstract

The invention discloses an object identification method based on UWB communication signals. According to the object identification method based on the UWB communication signals, a wireless sensor network is formed by a plurality of communication nodes, wherein each node comprises multiple MIMO antennas to receive signals. Firstly, characteristic parameters of signals received by the multiple antennas are extracted, parameter fusion is carried out on the extracted characteristic parameters, and a classification model is obtained through a fusion parameter training classifier. The classification model enters an identification mode after training is completed, and an object is identified by using the classification model. Through the utilization of the multi-antenna technology, the accuracy of object identification is improved, the anti-jamming capability of a system is enhanced, and normal wireless node communication is not influenced.

Description

Technical field: [0001] The invention belongs to the technical field of communication, and in particular relates to a target recognition method combining communication and pattern recognition. Background technique: [0002] Traditional wireless sensor network target recognition methods mostly use sensors to collect information such as sound, light, and images to identify targets. Their performance is severely degraded or even difficult to work normally in wind noise, rainfall, smoke, night or non-line-of-sight environments, and they cannot correctly identify targets. , causing false or missed alarms. [0003] In addition, the existing SISO (Single-Input Single-Output, single-input single-output) communication method cannot fully obtain the regional channel information between nodes, so the recognition accuracy of the identification method using channel information in this communication method is also limited. limit. [0004] At present, UWB (Ultra Wide Band, ultra-wideband...

Claims

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Application Information

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IPC IPC(8): H04B1/7163H04B7/04H04B17/00H04B17/391
Inventor 蒋挺江进张伟鹏翟世俊
Owner BEIJING UNIV OF POSTS & TELECOMM
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