Estimation Of Radar Signal Parameters Based On Digital Channelization

Radar signal parameters extraction is a vital part of the electronic warfare. Only know yourself as well as the enemy, can you succeed. Fast, accurate parameter extraction and measurements of the intercepted signals is one of the most important tasks for the development of Anti-Radiation Radar Seeker. In this paper, the radar IF signal acquisition and storage system is studied which is based on the engineering application and the digital channel receiver theory. Using this system, we can extract and measure the frequency, arrival time, pulse width and other parameters of the collected radar pulse data.Contents of this paper are divided into three parts:In the first part, the theory of the channel of the wideband digital receiver is studied. Firstly, the basic theory of signal samples is studied, including bandpass sampling theorem, digital down conversion, etc. The design of channelization based on the multi-phase filtering structure is proposed by the extractor’s multi-phase filtering design method in DDC. And different band division will leads to different multi-phase filter channel structure types. Secondly, a non-overlapping and non-blind channel structure is studied and the detailed formula of channelization multi-phase filter structure is derived. At last, simulations of the non-overlapping and non-blind multi-phase filter channel structure are carried out. The simulation results are consistent with the theoretical analysis. The correctness of the theory is proved.In the second part, radar signal processing algorithms are studied. Firstly, the theory of signal detection is studied. Signal detection is a prerequisite for the extraction and measurement of radar parameters. Three kinds of detection methods is mainly studied in this part, namely energy detection method, detection method based on accumulated autocorrelation and frequency domain detection method based on sliding FFT. The arrival time and pulse width of the sequence were measured and simulated based on the above method. Secondly, the instantaneous frequency estimation algorithms of the signal are studied. Including Phase difference method based on Hilbert transform, Short Time Fourier Transform(STFT), Wigner- Willie time-frequency distribution(WVD), Extended Prony Method, etc. At last, the performance of each algorithm is analyzed by Matlab simulation.In the third part, high speed data acquisition and storage system for intermediate frequency signal are studied. Firstly, the signal acquisition, the function of storage system, the system index and the software and hardware design are analyzed. The software of acquisition and storage system is designed based on the Lab VIEW graphical programming language(G language). The collected radar signal data is processed and analyzed using Matlab as the software platform. Secondly, a brief introduction of the Lab VIEW, a detailed introduction of the Lab VIEW program design and the main module in this topic are given. At last, the radar signal is generated, collected and stored by radar signal simulator according to the system target. The reliability and effectiveness of the high-speed data acquisition, storage and signal processing system are proved by processing and analyzing the collected signals which are loaded into the Matlab. It turns out in line with the requirements of the project.