| 摘要: |
| 针对机载雷达在环境复杂的高空飞行时检测空中多机动目标难度大的问题，提出了一种基于NLS-RELAX的空中多机动目标参数估计方法。本方法借鉴了RELAX算法的思想，可对多个机动目标进行有效分离，并利用非线性最小二乘(Nonlinear Least Squares, NLS)对分离后的每个机动目标信号进行参数估计。仿真实验表明，在目标信号严重被强杂波淹没且脉冲数有限的情况下，本方法可以获得较为精确的参数估计结果，且由于加入了RELAX的分离思想，在待检测距离单元内存在多个机动目标时本方法同样适用。 |
| 关键词: 机载雷达 多机动目标 非线性最小二乘 参数估计 |
| DOI：10.3969/j.issn.1672-2337.2018.02.016 |
| 分类号:TN959.73 |
| 基金项目:国家自然科学基金（No.61471365,61231017）；民航联合基金（No.U1633106）；中国民航大学蓝天青年学者培养经费资助项目；中央高校基本科研业务费项目（No.3122017006） |
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| Parameter Estimation of Multiple Air Maneuvering Targets Based on NLS-RELAX |
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LI Hai, CHEN Xiaoqian
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Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
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| Abstract: |
| In this paper, a method based on NLS-RELAX is presented for estimating parameters of multiple air maneuvering targets in the complex environment when airborne radar flying in the sky. Benefitting from the ideas of RELAX algorithm, the proposed method can separate multiple maneuvering targets effectively. Then the nonlinear least squares (NLS) is used to estimate the parameters of each separated maneuvering target. Simulation experiments show that this method can obtain more accurate parameter estimation results in the strong clutter background while the data samples are limited. Introducing the separation idea from RELAX, this method is also applicable for multiple maneuvering targets. |
| Key words: airborne radar maneuvering target nonlinear least squares(NLS) parameter estimation |
