Wideband Radar Signal Parameter Estimation Algorithm And Dsp

Wide-band digital receiver plays a very important role in the new generation of the reconnaissance system for radar signals. Its advantage lies in its capability of receiving, dealing with different signals and using different signals processing methods by changing the software on the programmable devices. This makes wide-band digital receiver become a certain trend in the detecting and intercepting of radar signal field.In this dissertation, the algorithms of regnition, parameter estimation and sorting for the monopulse signal, the linear frequency modulation signal (LFM) and the binary phase coded signal are studied. According to the algorithm requirements, a hardware platform is set up and tested using ADSP-TS201S mainly.1. Based on signal environment of modern radar countermeasure, the models of the monopulse signal, the linear frequency modulation signal and the binary phase coded signal are introduced. The short-time Fourier transform of three signals is deduced, and the properties of time domain, frequency domain and time-frequency domain for these signals are analyzed.2. The fast algorithm for identifying the three signal modulation types is studied by comparing the bandwidth of the original signal with the bandwidth of the squared signal. The smoothing technology is used to improve the performance of the fast algorithm.3. The conventional interpolated DFT algorithms are analyzed. A new modified frequency estimator using Fourier coefficients interpolation, which can approach Cramér–Rao Bound without iteration, is presented. Considering the complexity of method and the severe demands on hardware resources of DSP, a modified method for fast DSP implementation is introduced.4. The detection and parameter estimation of the LFM signal is studied based on the fast dechirp method and the fractinal Fourier transform (FrFT). A new algorithm, combining the time delay correlation dechirp method and the FrFT scan method, is presented to decrease the computational burden using one-dimension search in limited range.5. The short-time Fourier transform and wavelet transform are applied to detect and parameter estimation of binary phase-coded signals. In the time-frequency plane, phase transient change information of each binary phase coded signal is mapped into magnitude transient change of its transform.6. The conventional pulse repetition intervals (PRI) estimation algorithms are analyzed. A fast PRI estimation method is presented based on intrapulse parameter.7. The hardware design of a signal processing board is discussed. The software development of radar signal processing algorithms is completed.8. To demonstrate the feasibility of radar signals processing algorithms,and practicability of hardware system, a hardware and software combine-test system is designed and testified.