Improving ROCs of Constant False Alarm Coded Anti-collision Radar in Very Noised Cases

Abstract

In the automobile industry, the use of Constant False Alarm Coded Anti-Collision Radar (CFACAR) is very intriguing. This system is the most resilient to interference from many users because of the orthogonality qualities of the utilised codes. When the input Signal to Noise Ratio (SNR) is very low, the real version of the receiver, referred to in this study as the Single Correlation Receiver (SCR), is unable to identify the targets. We introduce the Averaging Correlation Receiver (ACR), a novel receiver that calculates the average of the M subsequent correlations, as a solution to this issue. The formulation of detection and false alarm probability for the novel receiver in mono and multi-user situations was then created. The new Receiver Operating Characteristics (ROCs) are shown using these probabilities. They are shown for various input SNR and ACR length M values. According to certain equations, there is an appropriate value of M that may be assumed to have a good detection (ROCs more perfect). Additionally, we discovered that we need to significantly increase the length M for a given SNR, but this is only feasible when the target's relative velocity is low. We may reduce the SNR value to SNR = −45 dB at a velocity of 5 km/h with M = 1055.