Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm
Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm

A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is introduced. The CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding, and estimates a target's distance by a method named interpolation method, so that we can get an ideal pulse compression result of the target, and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result, so as to achieve the remarkable performance of side-lobe suppression for large targets, and let the adjacent small targets appear. The computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy environment. It is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high, and can enhance the radar's multi-target detection ability.
A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is introduced. The CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding, and estimates a target's distance by a method named interpolation method, so that we can get an ideal pulse compression result of the target, and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result, so as to achieve the remarkable performance of side-lobe suppression for large targets, and let the adjacent small targets appear. The computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy environment. It is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high, and can enhance the radar's multi-target detection ability.