Abstract: For the influence of reverberation on the detection of underwater microtopography in deep-sea mining environment,an ultrasonic transmit signal is designed to suppress reverberation and improve detection accuracy.The modeling of received waveform is analyzed,and its evaluation index of detection performance is obtained according to the Neyman-Pearson criterion.On the basis of the theory of optimal detection of Gaussian point targets,a design method of wavefom energy spectrum is addressed for detection in chaotic deep-sea mining environment.Then,the amplitude spectrum of transmit signal is obtained in reverberation.Keeping the amplitude spectrum constant,the sonar waveforms are designed based on the relationship between the phase spectrum and length of signal,which can apply to different detection system and environment.Finally,the transmit signal designed and other common sonar waveforms are used to detect targets in simulated deep-sea mining environment.The results show that the sonar waveform designed is superior to other common sonar waveforms both in detection accuracy and anti-reverberation capability.