Improving the Performance of the Hough Detector in Search Radars

Ali MOQISEH; Mahdi HADAVI; Mohammad M. NAYEBI

doi:10.1587/transcom.E94.B.273

Improving the Performance of the Hough Detector in Search Radars

Ali MOQISEH, Mahdi HADAVI, Mohammad M. NAYEBI

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In this paper, the inherent problem of the Hough transform when applied to search radars is considered. This problem makes the detection probability of a target depend on the length of the target line in the data space in addition to the received SNR from it. It is shown that this problem results in a non-uniform distribution of noise power in the parameter space. In other words, noise power in some regions of the parameter space is greater than in others. Therefore, the detection probability of the targets covered by these regions will decrease. Our solution is to modify the Hough detector to remove the problem. This modification uses non-uniform quantization in the parameter space based on the Maximum Entropy Quantization method. The details of implementing the modified Hough detector in a search radar are presented according to this quantization method. Then, it is shown that by using this method the detection performance of the target will not depend on its length in the data space. The performance of the modified Hough detector is also compared with the standard Hough detector by considering their probability of detection and probability of false alarm. This comparison shows the performance improvement of the modified detector.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.1 pp.273-281

Publication Date: 2011/01/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.273

Type of Manuscript: PAPER

Category: Sensing

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Ali MOQISEH, Mahdi HADAVI, Mohammad M. NAYEBI, "Improving the Performance of the Hough Detector in Search Radars" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 1, pp. 273-281, January 2011, doi: 10.1587/transcom.E94.B.273.
Abstract: In this paper, the inherent problem of the Hough transform when applied to search radars is considered. This problem makes the detection probability of a target depend on the length of the target line in the data space in addition to the received SNR from it. It is shown that this problem results in a non-uniform distribution of noise power in the parameter space. In other words, noise power in some regions of the parameter space is greater than in others. Therefore, the detection probability of the targets covered by these regions will decrease. Our solution is to modify the Hough detector to remove the problem. This modification uses non-uniform quantization in the parameter space based on the Maximum Entropy Quantization method. The details of implementing the modified Hough detector in a search radar are presented according to this quantization method. Then, it is shown that by using this method the detection performance of the target will not depend on its length in the data space. The performance of the modified Hough detector is also compared with the standard Hough detector by considering their probability of detection and probability of false alarm. This comparison shows the performance improvement of the modified detector.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.273/_p

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@ARTICLE{e94-b_1_273,
author={Ali MOQISEH, Mahdi HADAVI, Mohammad M. NAYEBI, },
journal={IEICE TRANSACTIONS on Communications},
title={Improving the Performance of the Hough Detector in Search Radars},
year={2011},
volume={E94-B},
number={1},
pages={273-281},
abstract={In this paper, the inherent problem of the Hough transform when applied to search radars is considered. This problem makes the detection probability of a target depend on the length of the target line in the data space in addition to the received SNR from it. It is shown that this problem results in a non-uniform distribution of noise power in the parameter space. In other words, noise power in some regions of the parameter space is greater than in others. Therefore, the detection probability of the targets covered by these regions will decrease. Our solution is to modify the Hough detector to remove the problem. This modification uses non-uniform quantization in the parameter space based on the Maximum Entropy Quantization method. The details of implementing the modified Hough detector in a search radar are presented according to this quantization method. Then, it is shown that by using this method the detection performance of the target will not depend on its length in the data space. The performance of the modified Hough detector is also compared with the standard Hough detector by considering their probability of detection and probability of false alarm. This comparison shows the performance improvement of the modified detector.},
keywords={},
doi={10.1587/transcom.E94.B.273},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - Improving the Performance of the Hough Detector in Search Radars
T2 - IEICE TRANSACTIONS on Communications
SP - 273
EP - 281
AU - Ali MOQISEH
AU - Mahdi HADAVI
AU - Mohammad M. NAYEBI
PY - 2011
DO - 10.1587/transcom.E94.B.273
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2011
AB - In this paper, the inherent problem of the Hough transform when applied to search radars is considered. This problem makes the detection probability of a target depend on the length of the target line in the data space in addition to the received SNR from it. It is shown that this problem results in a non-uniform distribution of noise power in the parameter space. In other words, noise power in some regions of the parameter space is greater than in others. Therefore, the detection probability of the targets covered by these regions will decrease. Our solution is to modify the Hough detector to remove the problem. This modification uses non-uniform quantization in the parameter space based on the Maximum Entropy Quantization method. The details of implementing the modified Hough detector in a search radar are presented according to this quantization method. Then, it is shown that by using this method the detection performance of the target will not depend on its length in the data space. The performance of the modified Hough detector is also compared with the standard Hough detector by considering their probability of detection and probability of false alarm. This comparison shows the performance improvement of the modified detector.
ER -