Multi Target Detection Algorithm for Millimeter Wave Radar Based on Improved OS-CFAR

When radar performs constant false alarm detection in a multi target environment, if the targets are close together, there will be target masking phenomenon. OS-CFAR performs well in multi target environments, but it has a tolerance for detecting targets, which is determined by the K value in the algorithm. When the number of targets exceeds the tolerance, serious false alarms may occur. This article focuses on the issue of missed alarms caused by the number of targets exceeding the tolerance limit in OS-CFAR. Based on OS-CFAR, an improvement is made and the ITS-CFAR algorithm is proposed. This algorithm uses the iterative threshold method to obtain the threshold, and the signal of the reference unit is segmented based on the threshold to obtain the K value, thereby obtaining the detection threshold to determine the target signal. This effectively reduces the missed alarms caused by the number of targets exceeding the tolerance limit in the OS-CFAR algorithm. Simulation analysis was conducted on the improved detection algorithm, and the results showed that when the number of targets exceeded the OS-CFAR tolerance, the OS-CFAR detector basically lost its detection ability, while the ITS-CFAR detector still maintained a detection probability of over 90% and had strong resistance to target interference.