Isaac Scientific Publishing

Frontiers in Signal Processing

Multipulse Analysis of Adaptive Detection of MTI Radar System in the Presence of Interferers

Download PDF (2355.9 KB) PP. 43 - 62 Pub. Date: July 5, 2019

DOI: 10.22606/fsp.2019.33002


  • Mohamed Bakry El Mashade*
    Electrical Engineering Dept., Faculty of Engineering, Al Azhar University, Nasr City, Cairo, Egypt


The detection of a moving target against clutter background represents one of the most important goals of a radar system. To satisfactory achieve this objective, it is necessary to suppress or cancel the clutter returns with as small suppression of the target signal as possible. Moving target indication (MTI) radar is capable of detecting such type of targets in the presence of an interfering background. Radar MTI reduces the returns from stationary or slowly moving clutter. In addition to MTI processing, automatic detection may be applied in order to make decisions on the target presence. In this regard, the CFAR detection is a common form of adaptive algorithm used in radar systems to detect target returns against a background of noise, clutter and interference. However, the presence of MTI complicates the analysis of the detection system performance since its output sequence is correlated even though its input sequence may be uncorrelated. Our goal in this paper is to analyze the performance of a radar signal processor that consists of a non-recursive MTI followed by a square-law integrator and a new version of CFAR circuit detection; the operation of which is based on the hybrid combination of CA and TM algorithms. The processor performance is evaluated for the case where the background environment is assumed to be ideal (homogeneous) as well as in the presence of outlying target returns amongst the contents of the reference window. The numerical results show that there is an enhancement in the processor performance when either the number of incoherently integrated pulses increases or the correlation between consecutive sweeps decreases, given that the false alarm rate is held constant.


Adaptive detection, moving target indicator (MTI), noise and clutter, developed detectors, incoherent integration of M pulses, multitarget environments.


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