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Excision CFAR BI Detector with Hough Transform in the Presence of Randomly Arriving Impulse Interference
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kabakchiev, Christo A. Garvanov, Ivan Doukovska, Lyubka |
| Copyright Year | 2005 |
| Abstract | We present in this paper the research results concerning the performance of an Excision Constant False Alarm Rate (EXC CFAR) detector and an EXC CFAR Binary Integration (BI) detector with Hough transform in the presence of randomly arriving impulse interference with binomial distributed flow and Raleigh amplitude distribution. We have studied the detection probability and the average decision threshold of EXC CFAR detectors with Hough transform. The experimental results are obtained by numerical analysis. They reveal that the use of Hough transform allows reducing drastically detectability losses in comparison to the conventional EXC CFAR detector and that it is effective for small signal-to-noise ratios. The research work is performed in MATLAB computational environment. The obtained analytical results for excision Hough CFAR detectors can be used in both, radar and communication receiver networks. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.iit.bas.bg/IIT_bg/staff_bg/I_Garvanov/IRS_2005_259-264.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
