| The pulse compression is the Modern Radar widespread application one kind of vanguard technology, it has solved between the radar range resolution and the average power contradiction effectively, and widely applies in the Modern Radar. Specially the two phase coded signal has is approximate in the map tacks fuzzy chart, moreover its pulse compression easy to realize, thus obtains the widespread application.However, has limited the phase encoding signal pulse compression practical application from the side lobe. Therefore, how better does a suppression become the phase encoding signal pulse compression practical application from the side lobe the key question.This article mainly introduced and has analyzed the phase encoding signal pulse compression and the side-lobe suppression technology. First embarked from the pulse compression basic principle, summarized the pulse compression characteristic and the realization method; Discussed the phase encoding signal characteristic, and multianalysis model and so on Barke code, m sequence, MAC code two phase code signals, introduced simply heterogeneity codes and so on Taylor code, franker code, P3, P4 code, have studied the wavelet neural network structure and the study method, and studied has used the Pseudo-Haar wavelet function the wavelet neural network solution two phase coded signal side-lobe cancellation question method. Then has used the linear programming law and the iterative weighting is smallest two rides the algorithm to design the side-lobe cancellation filter to achieve the phase encoding signal the side-lobe suppression goal, has carried on the corresponding simulation with Matlab7.4.0, and has carried on the comparison to the simulation result.Has studied the multi-objective superimposition to the pulse compression influence and the processing method, discovered uses the side-lobe suppression technology to be possible to reduce between the multi-objectives the serious disturbance.And has studied its FPGA realization principle. |
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