MIMO雷达方向图与稀疏频率波形联合设计

发布时间：2018-04-03 11:35

本文选题：MIMO雷达　切入点：方向图设计　出处：《信号处理》2016年11期

【摘要】：发射方向图设计与波形优化是MIMO雷达领域的热点,随着研究的深入越来越需要考虑包括频谱特性在内的雷达系统工作环境特性。针对采用传统波形容易产生互相干扰的频谱拥挤情况,本文提出了一种MIMO雷达方向图与稀疏频率波形联合设计方法。一方面保证了将能量集中辐射到所感兴趣的区域上的探测性能,另一方面由得到的稀疏频率波形可以避免MIMO雷达系统与其他同频工作设备互相干扰。该方法首先根据MIMO雷达方向图与波形矩阵的关系,列出具有稀疏频率约束与恒模约束的目标函数式;然后通过从期望方向图到自相关矩阵,再到恒模稀疏频率波形的步骤,应用循环算法求解目标函数;最后所得结果波形的方向图接近期望方向图,同时结果波形具有稀疏频率特性和良好的自相关特性。仿真结果验证了文中方法的有效性。
[Abstract]:Transmit beampattern design and optimization of waveform MIMO radar is a hot field, with the in-depth study is more and more need to consider the work environment characteristics of radar system, including spectrum characteristics. Traditional waveform spectrum interference prone to congestion, this thesis puts forward a MIMO radar waveform design direction graph and sparse frequency method. To ensure the detection performance of energy radiation to the areas of interest on the other hand, by the sparse frequency waveform can be avoided MIMO radar systems and other equipment with frequency mutual interference. The method is based on the relationship of MIMO radar waveform pattern and the matrix, list the target function with sparse frequency constraints with the constant constraint; then from the desired pattern to the autocorrelation matrix, and then to the steps of the constant modulus sparse frequency waveform, using cyclic algorithm Finally, we get the result that the direction of the waveform is close to the desired pattern, and the results have sparse frequency characteristics and good autocorrelation characteristics. The simulation results verify the effectiveness of the proposed method.

【作者单位】：北京航空航天大学电子信息工程学院;
【基金】：国家自然科学基金(61471019)
【分类号】：TN958

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