Aiming at the problem of weak target detection in traditional single-site radar, an integrated target detection and parameter estimation algorithm based on distributed waveform diversity array radar is proposed. The distributed waveform diversity array radar system consists of Frequency Diverse Array(FDA)-Multiple Input Multiple Output(MIMO) radar and Element Pulse Coding(EPC)-MIMO radar. Under the background of white noise, a binary hypothesis problem is constructed for each local radar station, where the target angle and distance information are unknown. Based on the above model, an adaptive detector is designed under the Generalized Likelihood Ratio Test(GLRT) criterion. The Coordinate Descent(CD) method and Gradient Projection Method(GPM) are employed to solve the estimates of target angle and distance information and obtain local detection statistics. Subsequently, at the fusion center, the global detection statistic for the final detection decision is constructed by calculating the logarithmic sum of multiple sets of local detection statistics. Simulation experiments verify that compared with single-site waveform diversity array radar, the distributed waveform diversity array radar improves the target detection probability. Compared with distributed phased array radar, the distributed waveform diversity array radar significantly enhances the target detection probability and parameter estimation performance.