| 摘要: |
| 采用距离和信息的多基地雷达多目标投影定位算法中，距离向脉冲压缩后分辨率降低，需要已知空间中目标个数。针对此问题，提出了一种稀疏重建的多基地雷达多目标定位方法。该方法利用多个接收机中目标稀疏度相同的特点，通过构造平均重构残余误差变化率和平均散射系数变化率作为正交匹配追踪(OMP)算法迭代终止判定条件，自适应地终止OMP算法的同时获得稀疏重建信号以及信号稀疏度的估计值，提高了距离向分辨率，获得了对空间中目标个数的估计。仿真实验表明所提算法有效抑制了距离向主瓣展宽和旁瓣串扰，提高了距离向分辨率。同时，所提算法在不同噪声环境下能准确估计空间中目标个数并提取其空间位置，实现对空间中目标的准确定位。 |
| 关键词: 多基地雷达 多目标定位 距离和 稀疏重建 自适应正交匹配追踪 |
| DOI：10.3969/j.issn.1001-893x.2017.10.010 |
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| 基金项目:四川省教育厅重点项目（15ZA0277）；乐山师范学院引进人才项目（Z1403） |
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| A multi-static radar multi-target localization algorithm based on sparse reconstruction |
| FAN Ling |
| () |
| Abstract: |
| It is required to know targets’ number in the surveillance space because of low resolution after pulse compression in the projection localization method of multi-static radar multi-target based on range sum measurement.For this problem,a new sparse reconstruction based multi-static radar multi-target projection localization algorithm is proposed. By exploiting the feature that the sparsity of targets is same in different receivers,this algorithm uses the rate of average residual error and the rate of average scatter coefficient constructed as the stopping criterion to terminate orthogonal matching pursuit(OMP) algorithm adaptively. Meanwhile,the sparse reconstructed signals and the estimated sparsity of targets are obtained to improve the range resolution and obtain the targets’ number.Simulation results verify the mainlobe broadening and the sidelobe crosstalk are suppressed by the proposed method and the range resolution is improved. In addition,the unknown targets’ number is estimated accurately and the unknown targets’ location is extracted by the proposed method in different noise conditions. |
| Key words: multi-static radar multi-target localization range sum sparse construction adaptive orthogonal matching pursuit(OMP) |
《电讯技术》编辑部 