EXC CFAR BI processor with Polar Hough transform in the presence of Binominal impulse interference

Author

Garvanov, Ivan

Author_Institution

Univ. of Libr. Studies & Inf. Technol., Sofia, Bulgaria

fYear

2013

fDate

5-7 June 2013

Firstpage

1

Lastpage

4

Abstract

In radars, the performance of signal detectors is seriously degraded by arrival of impulse noise that extremely worsens their detectability characteristics. There are many papers, in which different Constant False Alarm Rate (CFAR) detectors have been analyzed in the presence of randomly arriving impulse interference described as Bernoulli pulse sequences. In this paper, the randomly arriving impulse interference is mathematically described as Binominal pulse sequences. This model of impulse noise is used for numerical analysis of Excision Constant False Alarm Rate (EXC CFAR) pulse detector and EXC CFAR BI (binary integration) pulse train detector with Polar Hough transform. The detectability of detectors is expressed in terms of the detection probabilities and the Average Decision Threshold (ADT). The experimental results are obtained by numerical analysis in MATLAB environment.

Keywords

Hough transforms; impulse noise; numerical analysis; radar tracking; signal detection; target tracking; ADT; Bernoulli pulse sequences; CFAR detectors; EXC CFAR BI processor; MATLAB environment; average decision threshold; binominal impulse interference; constant false alarm rate; detectability characteristics; excision constant false alarm rate; impulse noise; numerical analysis; polar Hough transform; pulse train detector; signal detectors; Bismuth; Detectors; Interference; Noise; Radar detection; Transforms; Average Decision Threshold; CFAR processors; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Symposium (SPS), 2013

Conference_Location

Serock

Type

conf

DOI

10.1109/SPS.2013.6623594

Filename

6623594