| 递推最小二乘算法在新型无源探测系统中的应用 |
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| 引用本文： | 刁鸣,刘玫,成洁.递推最小二乘算法在新型无源探测系统中的应用[J].系统工程与电子技术,2006,28(6):801-803. |
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| 作者姓名： | 刁鸣 刘玫 成洁 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 国防基础科研基金资助课题(K1503060217) |
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| 摘 要： | 针对新型无源探测系统的要求,在原有最小二乘算法的基础上,为缩短定位时间,减少运算量,提出了递推最小二乘算法。同时引入自适应卡尔曼滤波算法对原始定位结果进行了处理。多次计算机仿真结果表明该算法有效地提高了定位的实时性、可靠性和定位精度,能够满足新型无源探测系统的技术要求。
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| 关 键 词： | 无源定位 递推最小二乘 自适应卡尔曼滤波 |
| 文章编号： | 1001-506X(2006)06-0801-03 |
| 修稿时间： | 2005年5月20日 |
Application of recursive least square in single station passive location |
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| DIAO Ming,LIU Mei,CHENG Jie.Application of recursive least square in single station passive location[J].System Engineering and Electronics,2006,28(6):801-803. |
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| Authors: | DIAO Ming LIU Mei CHENG Jie |
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| Abstract: | To aim at the requirements of the Novel Passive Detecting Radar System on the basis of the existing algorithm of the least squares,for shortening the locating time and the computation,a new recursive least squares(RLS) algorithm is advanced.At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results.Computer simulations show that the algorithm is effectualy improves the locating characteristics of real-time,reliability and precision,and can satisfy the requirements of the novel passive detecting radar system. |
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| Keywords: | passive location recursive least square algorithm adaptive Kalman filter |
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