Abstract

Target detection of RADAR deals with different and manifold problems over few decades. The detection capability is one of the most significant factors in RADAR system. The main aim of detection is to increase probability of detection while decreasing rate of false alarm. The threshold of detection is modified as a function of the receiver noise level to keep a fixed rate of false alarm. Constant False Alarm Rate (CFAR) processors are used to maintain the amount of false alarm under supervision in a diverse background of interference. In Signal to Noise Ratio (SNR) level, a loss can be occurred due to CFAR processor. Gamma function is used to determine the probability of false alarm. It is assumed in adaptive CFAR that the interference distribution is familiar here. This type of CFAR also approximates the unknown parameters connected with various interference distributions. CFAR loss depends on gamma function. Incomplete gamma function plays an important role in maintaining threshold voltage as well as probability of detection. Changing the value of gamma function can improve the probability of detection for various Swerling Models which are proposed here. This paper has also proposed a technique to compare various losses due to CFAR in terms of different gamma function in presence of different number of pulses for four Swerling Models.

Highlights

  • In presence of non-stationary background noise the detection of radar return signals becomes complicated

  • Due to loss of constant false alarm rate (CFAR) [11]-[15], probability of detection can be changed in radar detection for fluctuating target

  • This paper presents an analytical method for comparison of Constant False Alarm Rate (CFAR) loss for various value of gamma function & method of improving detection capability in RADAR technology

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Summary

INTRODUCTION

In presence of non-stationary background noise (or noise plus clutter) the detection of radar return signals becomes complicated. Function of time can represent a radar target depending on the huge number of real targets whose return changes in magnitude from low to high. Probability of detection in radar depends on many parameters, incomplete gamma function is one of them. In Constant False Alarm Rate, the measurement of the noise power levels from the leading and the trailing reference windows are dependent on the Cell Averaging (CA) technique [1]-[4]. The theoretical results show that for various False Alarm rates the probability of detection will be different for various gamma parameter. Four types of Swerling Model have various CFAR rate for changing number of pulses in presence of different gamma parameters

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