Waveform optimization can effectively suppress the interference and noise, and significantly improve the performance of radars. In this paper, a research is conducted on polarimetric radars with the aim of optimizing the maximization of the output Signal-to-Clutter plus Noise Ratio (SCNR), and the problem model of jointly optimizing transmit waveform and receive filter under the energy constraint is constructed. As to the non-convex optimization problem at hand, an iterative optimization algorithm to design the transmit waveform and receive filter is proposed. With the increase of the iteration number, the objective function is monotonically increasing and converging to its bounds. The experimental results show the effectiveness of the proposed algorithm and its advantage over the existing method.