Investigation of Radio Signal Reconnaissance Based on Intermediate Frequency Channel Receiver
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The traditional radio station can only achieve a single function, the software radio broke through the limitations of this design, emphasizing the construction of open universal hardware platform, as far as possible with scalable, reconfigurable application software to achieve a variety of wireless communications.. Based on this idea, the channelized digital receiver can monitor the high-bandwidth signal to achieve full probability intercept, with multi-channel signal parallel processing and dynamic range, the advantages of low hardware complexity. According to different communication requirements and standards, the bandwidth and frequency band position distribution of each subband signal in the digital receiver monitoring bandwidth can also be different. For this situation, different channelization techniques can be used to receive the IF signal. Filter banks and other related technologies continue to develop new channels for the structure to provide more possibilities. In this work the techniques of sampling, multi-rate signal processing and digital down-conversion are studied in detail. Based on this, the channel structure based on multi-phase DFT filter bank is studied, and the channel distribution is discussed in detail. The mathematical model of the real signal channel is deduced and established, and the structure and operation complexity of each model are analyzed and compared. The correctness of the model is verified by MATLAB simulation of the selected real signal.
Radio signal, Ntermediate frequency channel receiver, Dft filter, Multi-channel, Simulation