Quasi-real-time processing system and processing method for external radiation source radar based on multi-pc architecture

Abstract

The invention discloses a quasi-real-time processing system and a method based on a multi-PC (Personal Computer) framework for an external illuminator radar, which are mainly used for solving the problems of low data processing speed and high development cost existing in the conventional external illuminator radar processing system. The system consists of a direct wave antenna, a signal antenna array, a receiver, a data acquisition unit, a concentrator, a PC1, a PC2 and a PC3. The method comprises the following steps that: the direct wave antenna receives a direct wave signal; the signal antenna array receives a target echo signal; the two signals are subjected to AD (Analog to Digital) conversion and digital down-conversion by the data acquisition unit after being filtered and amplified to obtain a digital signal; the PC1 and the PC2 perform clutter canceling and distance-Doppler two-dimensional relevant operation, and inform the PC3 of performing target detection and track processing, performing comparing amplitude, resolving a target position and displaying a target; and after displaying, the PC3 informs the PC1 and the PC2 of performing data processing on a next frame. The system and the method have the advantages of high data processing speed, and quasi-real-time processing of the external illuminator radar can be realized at low cost.

Description

technical field [0001] The invention belongs to the field of radar technology, and relates to radar signal processing technology. Specifically, it is an external radiation source radar processing system based on a multi-PC architecture and an implementation method, which can realize quasi-real-time processing of data under the MATLAB software platform, and realize target detection. Standard real-time location tracking. technical background [0002] Conventional active radars are vulnerable to electronic jamming and anti-radiation missiles because their transmitted signals are easily detected and intercepted by the enemy. In recent years, passive radar detection technology using radio, television, satellite and other civilian sources of radiation has attracted more and more attention. The passive radar system itself does not need to transmit signals, but uses the existing electromagnetic wave signals in the environment or the target itself for target detection and positionin...

AI Technical Summary

Problems solved by technology

[0003] At present, there are two main types of passive radar researched at home and abroad: one is to use the electromagnetic waves emitted by the detection target itself for detection and direction finding, but this method can only detect strong electromagnetic waves emitted by the target, but when the target is electromagnetically silent , the system cannot detect the target at all, and loses the ability to detect; the other is a passive radar system based on external radiation sources, which uses electromagnetic wave signals in the target reflection environment, such as commercial FM radio station signals, communication signals, etc. To detect, this system is not affected by whether the target emits electromagnetic waves, so it has greater advantages than the first system

However, due to the non-cooperative nature of the external radiation source, the detection performance of the external radiation source radar is often worse than that of the conventional radar system, so more complex signal processing methods are required, so the calculation amount is relatively large

At present, the data processing algorithm of the passive radar positioning and tracking system is mainly through the development of a dedicated signal processing board for data processing, but its development cycle is long, the development cost is relatively high, and the scalability and operability are poor; Although the PC processing method avoids the above shortcomings, the data processing speed is low, and it is difficult to meet the needs of real-time and quasi-real-time system scientific research experiments and algorithm verification.

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