On the Performance of Range Doppler Processor for Target Detection Based on the NMSE

Radar (radio detection and ranging) is a vital technology needed in air defense systems that are used to monitor the country from enemy threats. Radar is used to detect targets and direct fighter aircraft to defend against detected threats. Therefore, various kinds of radar technology were developed, one of which is surveillance radar. Surveillance radar that aims to guide or direct fighter aircraft to intercept and attack detected targets is the GCI (ground-controlled interception) radar. These targets can be fighter aircraft and UAV (unmanned aerial vehicle). The detected target must be determined by its distance and speed. Therefore, a radar system is needed that can determine distance and speed simultaneously with the aim of being able to identify targets in real time. In this research, a range Doppler processor algorithm was developed. This algorithm uses correlation processing consisting of pulse compression operations and FFT (Fast fourier transform). The suggested design produces a distance NMSE (Normalized mean squared error) of
$1,627\mathrm{x}10^{-10}$
and a Doppler NMSE of 1,
$14\mathrm{x}10^{-5}$
with the value of the standard deviation of the distance is 0 and the Doppler is close to 0 with the system iteration of 100 times. To validate the design algorithm, an experiment with a random target was carried out. From these experiments, the NMSE value of the distance was obtained
$1,4{0}7\mathrm{x}10^{-10}$
and NMSE Doppler of
$4,26\mathrm{x}10^{-3}$
. Based on the NMSE values obtained, it is concluded that the designed radar system produces accurate distances and speeds.