Indoor illegal signal source positioning system and method based on signal arrival direction

Abstract

The invention discloses an indoor illegal signal source positioning system and method based on a signal arrival direction. The system comprises a multi-channel wideband signal receiver, an aperture self-adaptive adjusting unit, a uniform linear array antenna and a signal processing unit. The method comprises the steps of carrying out parallel frequency scanning investigation on a designated frequency band by using the multi-channel wideband receiver, and determining a signal exceeding an intensity threshold value as a suspicious signal; locking a frequency of the suspicious signal by the multi-channel wideband receiver, and adjusting an interval of array elements of the uniform linear array antenna by the aperture self-adaptive adjusting unit; measuring and recording array snapshot data ofthe suspicious signal, and calculating a direction angle spatial spectrum of an array signal by adopting a super-resolution angle-of-arrival algorithm; finding the position of a direct path in the direction angle spatial spectrum according to a direct path recognition algorithm; and changing the position of a test point, performing repeated measurement and calculation, and obtaining the positionof an illegal signal source through cross positioning. The positioning system and method has the advantages of being simple, reliable and low in cost; single-station positioning can be realized; and the deployment is convenient, and the use is flexible.

Description

technical field [0001] The invention relates to the technical field of passive positioning in wireless communication systems, in particular to an indoor illegal signal source positioning system and method based on signal arrival direction. Background technique [0002] In recent years, new technologies represented by artificial intelligence, big data, and the Internet of Things have developed rapidly, and have penetrated into all aspects of human society, politics, economy, and military activities. Information security, network security, and data security have become important factors for the stable development of countries Intelligence theft and espionage using information technology have also become more difficult to prevent. In addition, increasingly rampant terrorism and extremism also use information technology to threaten public safety and social order. Key national departments, key national defense facilities, scientific research and confidentiality units, and other ...

AI Technical Summary

Problems solved by technology

However, in an indoor environment, because the wireless signal is subject to the uncertainty of multipath propagation, RSS is susceptible to interference, fluctuates violently, and the accuracy of positioning performance is low; the second type is to use multiple detection stations to measure the time difference of arrival (TDOA) of signals ), draw the hyperbolic equation to calculate the position of the signal source

This method requires multiple sites to coordinate measurements, and requires each site to maintain time synchronization, the system complexity is high, and the performance is greatly affected by multipath propagation; the third type is to use array antenna technology and super-resolution (SRT ) algorithm measures and calculates the angle of arrival (AOA) of the signal, that is, the direction of arrival (DOA), and cross-locates the position of the signal source. This type of method can obtain high positioning accuracy, but it will also be affected by multipath propagation; the fourth type of method is Measure the training signal at the known position node in advance, construct the signal feature fingerprint library, and then calculate the position of the signal source by matching the signal to be tested with the value of the fingerprint library

The positioning accuracy of this method is related to the spatial distance and signal dimension of the fingerprint database. To achieve high positioning accuracy, a large number of offline signal collection work and a large number of receiving nodes are required, which is difficult for large-scale application and rapid deployment.

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