| 机扫雷达旁瓣对消算法研究 |
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| 引用本文： | 王冬. 机扫雷达旁瓣对消算法研究[J]. 火控雷达技术, 2011, 40(1): 41-44 |
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| 作者姓名： | 王冬 |
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| 作者单位： | 西安电子工程研究所,西安,710100 |
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| 摘 要： | 自适应旁瓣对消是雷达抑制有源干扰的有效措施,通常采用采样矩阵求逆的方法计算权值,对于方位上机械扫描的雷达,由于对消形成的方向图零点很窄,当天线转动时干扰的方向也会变化,针对这种情况,本文分析了运用采样矩阵求逆算法(SMI)和递归最小二乘算法(RLS)进行旁瓣对消时,干扰对消比的变化情况,并得出了RLS算法具有跟踪角度变...
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| 关 键 词： | 旁瓣对消 采样矩阵求逆算法 递归最小二乘算法 |
Study on Sidelobe Cancellation Algorithm for Mechanical Scanning Radar |
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| Wang Dong. Study on Sidelobe Cancellation Algorithm for Mechanical Scanning Radar[J]. Fire Control Radar Technology, 2011, 40(1): 41-44 |
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| Authors: | Wang Dong |
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| Affiliation: | Wang Dong(Xi′an Electronic Engineering Research Institute,Xi′an 710100) |
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| Abstract: | Adaptive sidelobe cancellation is an effective measure to suppress active jamming against radar.Generally sampling matrix inversion（SMI） algorithm is used to calculate optimal weights.For a radar with mechanical scanning in azimuth,because zero points of the antenna pattern is narrow due to cancellation,while jammed direction will vary with turning of antenna.By comparing jamming cancellation ratio variation obtained by using of SMI and recursive least square（RLS） algorithms,the result is obtained that RLS algorithm is capable of tracking angular variation,and reasons for performance degradation of RLS in some cases are presented. |
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| Keywords: | sidelobe cancellation（SLC） sampling matrix inversion（SMI） recursive least square（RLS） |
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