Performance analysis of a weighted max CFAR processor

Abstract

In this paper, we study the performances of a novel CFAR in homogeneous environment. This processor consists to take maximum power of cells in the reference windows and multiply it by a coefficient α (α <1) to obtain the background level estimate. We assume that the target is embedded in a white Gaussian noise and fluctuate according to a Swirling I model. Closed form expressions of the probabilities of detection and false alarm are determined and the performance of the proposed detector is investigated. Figure 3: Threshold multiplier versus Figure 4: Probability of detection versus SNR(dB) for α (for wmaxcfar) or k(for os-cfar) different values of Pfa (N=16 and α=0.75)

Cluttered Environment and Target Simulator to Evaluate Primary Surveillance Radar Processors

“…In order to verify the environment generation, two traditional radar processors are employed, the MTD processor, for monopulse targets without pulse compression [6,20,24] (as shown in Figure 3a), and the CFAR processor, for pulse-compressed targets [19,21], using Barker code [22,25] (as depicted in Figure 3b). These processors generate a detection vector with information on azimuth, distance, and whether the target is stationary or mobile.…”

“…To distinguish targets from noise, a max CFAR processor [21] is applied. The output of this processor is shown in Figure 5d.…”

“…The proposed system simulates Weibull clutter, stationary targets, and moving targets with or without pulse compression (Swerling 0) [19]. The generated simulator is tested with two radar processors, a variant of moving target detection (MTD) [20] and a constant false alarm rate (CFAR) processor [21], in order to develop a tool that permits the assessment and testing of radar design before its implementation.…”