With the wide application of Frequency Modulated Continuous Wave(FMCW) on-board radar, the mutual interference of several radars in the same scene may lead to the decrease of sensor sensitivity and even false alarm. To tackle with this problem, an interference suppression method based on quantum genetic and center value matching is proposed. Firstly, the cross-correlation function of the transmitted waveform and the jamming signal is taken as the objective function, and the waveform parameters are optimized by Quantum Genetic Algorithm(QGA) to obtain the working parameters with the minimum cross-correlation within the constraint range. Then, the transmitted waveform is generated based on these parameters. Finally, according to the parameters of the jamming signal, the appropriate working radar parameters are selected by the center value matching method, realizing adaptive interference suppression. Simulation results show that this method can achieve good interference suppression results with low computation complexity.