Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

Abstract

Objective: To enhance multiple moving target detection of Radar by improving auto and cross-correlation properties of the digital signal received from the target. Methods: This study uses the Booths Algorithm to generate various groups of digital codes to test the auto and cross-correlation properties, and Doppler tolerance of the desired digital signal received from the target. Furthermore, Matlab is used to validate the investigated results. The side-noise of the presented digital codes is optimal which improves both static and moving target detection in multi-target environment. Standard length codes (i.e. 8, 16, 32, 64,128 and 256-bit) are designed. Findings: The designed group of digital codes discovers a broad range in smart 5 th -generation battlefields to detect the target, in which multiple and fast-moving warfare including Unmanned Aerial vehicles will actively participate in the mission. To confirm the study, a comparison has been made between the proposed approach and the current art of work (vide figure A). Novelty: Simple novel and productive set of digital codes using the Booths Algorithm have been designed and tested in real-time applications; wherein, the side noise peaks have been reduced to a minimum when compared to the current art of work