Improve radar performance in cluttered environments by integrating pulse compression method and signal surface compensation algorithm

The sensitivity of the radar system and the ability to separate targets, which are defined as two important criteria for any radar system, can be achieved by using the pulse compression method, but this is only if there is no clutter in the radar observation range. The presence of various types of clutter in the radar observation range, as a disturbance, disrupts the radar's performance and leads to wrong detection of the target and, as a result, false alarms. Adaptive signal level and detection threshold level compensation, as a solution, can improve radar performance in these environments. Accordingly, in this research, by applying compensation on the level of the transmitted signal and the level of the detection threshold in an adaptive manner, an attempt is made to prevent the misdiagnosis of the target and the occurrence of false alarms in the clutter environment. Several scenarios have been investigated using Barker 13 and 22 codes, and during the simulations, target dimensions, target distance from the radar, and rain rate have been changed. Based on the ROC curve, it has been proven that the proposed method for designing the detection threshold level has a higher detection rate than the OFDM and CFAR methods. It should be noted that all the simulations were done in the MATLAB software environment.