To further exploit the dual advantages of spatial diversity and waveform diversity in distributed frequency diverse array radar, a joint optimization method for transmit and receive parameters of distributed frequency diverse array radar based on the Maximum Block Improvement-Minorize Maximization(MBI-MM) is proposed. This method enhances the radar system's detection performance by jointly designing the transmit frequency offsets and receive filters of each radar station. Firstly, an optimization function is constructed to maximize the Signal-to-Interference-plus-Noise Ratio(SINR) of the target output in the clutter background, with constraints imposed on the frequency offsets and receive filters. Then, the original problem is decomposed into two independent subproblems, which are solved alternately. Finally, the MBI method is employed to iteratively update the optimization solutions of the two subproblems until the objective function converges. Simulations demonstrate that the joint optimization of frequency offsets and receive filters can significantly improve the SINR of the target output in the clutter background. Specifically, the target output SINR is improved by 5.7 dB when only the frequency offsets are optimized compared to when only the receive filters are optimized. After the joint optimization of transmit and receive parameters, the target output SINR is increased by 7.2 dB compared to when only the receive filters are optimized, and by an additional 1.5 dB compared to when only the frequency offsets are optimized. The proposed method enhances the radar's target detection performance in complex backgrounds for specific areas.