Abstract:

The problem of waveform estimation of radar pulses which are badly contaminated by communication signals is addressed in this paper. A new method based on singular value decomposition (SVD) for waveform estimation of radar pulse is given, even when the pulse in the background of communication signals. Through the characteristic analysis of SVD and eigenanalysis, the stability of SVD is proved, and the SVD has the best approximation to the linear characteristic of the signal observation matrix. Through the SVD of the signal observation matrix, the algorithm gives a waveform estimation method by singular vector (eigenvectors), and the method can also estimate the primary phase of pulse. The algorithm adapts to waveform of pulse with any shapes, and it also can estimate the waveform from low signal-to-noise ratio environment. Some simulations are accomplished, and proved the efficiency of the algorithm.