Adaptive detection for low probability of intercept radar signals and FPGA implementation

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This Letter presents an adaptive detection algorithm based on dynamic dual-threshold for low probability of intercept (LPI) radar signals in complex electromagnetic environments. The algorithm dynamically estimates background noise to effectively suppress interference spikes and prevent signal splitting. Experimental results demonstrate: detection probability reaches 82.6% at 0 dB SNR, improving 14.1% over CA-CFAR; false alarm rate deviation remains within 12%; FPGA resource utilization below 0.7% with 1.2 μs processing latency; detection accuracy exceeds 93% for CW, BPSK, and LFM signals at SNR≥6dB. The algorithm provides an efficient and reliable solution for LPI radar signal detection.
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Adaptive detection for low probability of intercept radar signals and FPGA implementation | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 28 July 2025 V1 Latest version Share on Adaptive detection for low probability of intercept radar signals and FPGA implementation Authors : Xiaoji Wei , Bilu Luo 0009-0004-6515-7794 [email protected] , chunfang gao 0009-0001-3534-6234 , and ting li Authors Info & Affiliations https://doi.org/10.22541/au.175372395.58088519/v1 247 views 246 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This Letter presents an adaptive detection algorithm based on dynamic dual-threshold for low probability of intercept (LPI) radar signals in complex electromagnetic environments. The algorithm dynamically estimates background noise to effectively suppress interference spikes and prevent signal splitting. Experimental results demonstrate: detection probability reaches 82.6% at 0 dB SNR, improving 14.1% over CA-CFAR; false alarm rate deviation remains within 12%; FPGA resource utilization below 0.7% with 1.2 μs processing latency; detection accuracy exceeds 93% for CW, BPSK, and LFM signals at SNR≥6dB. The algorithm provides an efficient and reliable solution for LPI radar signal detection. Supplementary Material File (adaptive detection for low probability of intercept radar signals and fpga implementation.docx) Download 545.07 KB Information & Authors Information Version history V1 Version 1 28 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords adaptive signal detection adaptive signal processing field programmable gate arrays radar clutter radar detection radar signal processing signal detection Authors Affiliations Xiaoji Wei Jiaxing Vocational and Technical College View all articles by this author Bilu Luo 0009-0004-6515-7794 [email protected] Jiaxing Vocational and Technical College View all articles by this author chunfang gao 0009-0001-3534-6234 Jiaxing Vocational and Technical College View all articles by this author ting li Jiaxing Vocational and Technical College View all articles by this author Metrics & Citations Metrics Article Usage 247 views 246 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Xiaoji Wei, Bilu Luo, chunfang gao, et al. Adaptive detection for low probability of intercept radar signals and FPGA implementation. Authorea . 28 July 2025. DOI: https://doi.org/10.22541/au.175372395.58088519/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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last seen: 2026-05-20T01:45:00.602351+00:00