The Implementation Based On FPGA And Signal Preprocessing Of The Electronic Reconnaissance System

In the modern information warfare, electronic surveillance plays an important rolein providing information to the strategic deployment. The main task of the electronicsurveillance is to set up the enemy’s electronic equipment types and position them. Inthe task of the recognition of the emitter, preprocessing signal is the most important part.The preprocessing of the Electronic surveillance is to calculate the time-domain andfrequency-domain parameters of the radiation source, which is commonly known as theradar pulse description word (PDW).In this paper, it mainly completes the following aspects in the preprocessing signal.First of all, the author studies the principle of the digital channelize based on thepolyphase filter and the implementation method of FIR filter based on DA algorithm.The main purpose of channelization is to achieve processing the signal with widebandwidth in real time, and to achieve the downconversion and processing the signal inthe baseband. Secondly, a new method is introduced to improve the signal to noise ratioin FPGA. To make it, the author adopts an important application of adaptivefilter-adaptive noise canceller. In terms of the threshold detection, based on the analysisto the statistical properties of the interference noise, this paper designs a method whichis more flexible and applicability called adaptive threshold setting. On the basis of theabove three algorithms, finally the author introduces the basic algorithm to measure thebasic parameters of the radar, including the time of arrival TOA, pulse widthPW, baseband signal frequency F, phase difference and so on. The modules givenabove are given the method in the FPGA implementation, and pass validation.