Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter
Aimed at the problem of detecting maneuvering targets in the Gaussian and sea clutter environments and based on the established motion state model, this paper proposed a new scheme that uses a joint radar-communication (JRC) system with Kalman filter to accurately detect the target with the generali...
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| Veröffentlicht in: | Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-9 |
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| container_title | Mathematical problems in engineering |
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| creator | Yao, Yu Zhang, Chenmei Wu, Le-nan |
| description | Aimed at the problem of detecting maneuvering targets in the Gaussian and sea clutter environments and based on the established motion state model, this paper proposed a new scheme that uses a joint radar-communication (JRC) system with Kalman filter to accurately detect the target with the generalized likelihood ratio test (GLRT) theory and a constant false alarm rate (CFAR) based threshold. Also, the theoretical threshold and probability function of GLRT target detection based on CFAR were given. Moreover, target detection probability of the new JRC system in Weibull and K distribution clutter is deduced. In addition to theoretical considerations, simulations and measurement results of the new JRC systems demonstrate excellent detection performance for maneuvering targets in the Weibull and K distribution channel. |
| doi_str_mv | 10.1155/2015/471305 |
| format | Article |
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Also, the theoretical threshold and probability function of GLRT target detection based on CFAR were given. Moreover, target detection probability of the new JRC system in Weibull and K distribution clutter is deduced. 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Also, the theoretical threshold and probability function of GLRT target detection based on CFAR were given. Moreover, target detection probability of the new JRC system in Weibull and K distribution clutter is deduced. In addition to theoretical considerations, simulations and measurement results of the new JRC systems demonstrate excellent detection performance for maneuvering targets in the Weibull and K distribution channel.</description><subject>Channels</subject><subject>Clutter</subject><subject>Constant false alarm rate</subject><subject>Gaussian</subject><subject>Kalman filters</subject><subject>Likelihood ratio</subject><subject>Maneuvering targets</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Mathematical problems</subject><subject>Motion perception</subject><subject>Noise</subject><subject>Radar detection</subject><subject>Random variables</subject><subject>Target detection</subject><subject>Thresholds</subject><subject>Velocity</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0E1Lw0AQBuBFFKzVk3dZ8CJK7H4mm6NGrUpV0Ba8hU0yqSnppu4mSv-9WyIiXjzNMDwMMy9Ch5ScUyrliBEqRyKinMgtNKAy5IGkItr2PWEioIy_7qI95xaEMCqpGqDZgzbQfYCtzBxPtZ1Di6-ghbytGoMvtYMC--b-OcEva9fCElcGj3XnXKUN1qbAj40JfgZJ3bUt2H20U-rawcF3HaLZzfU0uQ0mT-O75GIS5FzFbSBBcMJAFyLKS8IzKbNYUKWkDnUueMQFiQWUQmdlwRXLlIqZDLMsjAEKwUs-RCf93pVt3jtwbbqsXA517Z9qOpfSKOaMKeofH6LjP3TRdNb467ySUijJQ-nVWa9y2zhnoUxXtlpqu04pSTcRp5uI0z5ir097_VaZQn9W_-CjHoMnUOpfOOIxCfkXJy6C7w</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Yao, Yu</creator><creator>Zhang, Chenmei</creator><creator>Wu, Le-nan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20150101</creationdate><title>Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter</title><author>Yao, Yu ; 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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Channels Clutter Constant false alarm rate Gaussian Kalman filters Likelihood ratio Maneuvering targets Mathematical analysis Mathematical models Mathematical problems Motion perception Noise Radar detection Random variables Target detection Thresholds Velocity |
| title | Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter |
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