系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

Pareto最优稀疏频率雷达波形设计

尚进, 赵德华, 位寅生   

  1. 哈尔滨工业大学电子与信息工程学院, 黑龙江 哈尔滨 150001
  • 出版日期:2016-06-24 发布日期:2010-01-03

Pareto optimal sparse frequency radar waveform design

SHANG Jin, ZHAO De-hua, WEI Yin-sheng   

  1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
  • Online:2016-06-24 Published:2010-01-03

摘要:

为应对高频雷达窄带干扰,稀疏信号可将发射能量分配到各离散的“寂静”频带来获得大信干比,但频谱稀疏会引起距离旁瓣抬高。由于信干比和旁瓣以冲突形式耦合,在优化设计时需同时考虑,属于多目标优化问题。为此,推导出已知干扰样式下的信干比及积分旁瓣水平的解析表达式,利用梯度迭代算法得到这两个指标加权和的最优解,并遍历权值得到Pareto最优曲线。在仿真中,结合示例利用Pareto最优曲线对不同权重下的波形设计结果进行对比分析,表明该优化方法在实际应用中具有灵活性。

Abstract:

To deal with the narrowband interferences in high frequency radar application, sparse frequency waveform allocates its energy into several disjointed bands to obtain a high signa-to-interference-plus-noise ratio (SIR). However, the spectrum discontinuity will result in high range sidelobes. The SIR and sidelobes are coupled in a conflicting way, and should be taken into account together in design, which boils down to multi-objective optimization. The analytical expression of integral sidelobe level (ISL) and SIR under a known interference environment is derived. Then a gradient based iterative algorithm is proposed to obtain the optimum solution to the weighted sum of both metrics. By traveling the weight applied, the Pareto trade off curve is obtained. Using the Pareto trade off curve, waveform design results under different weights are analyzed. The simulation verifies flexibility the optimal design in practical applications.