中文摘要：

组网雷达在提高目标检测、跟踪和抗干扰性能方面表现出巨大潜力，但也存在高自相关距离旁瓣和各节点雷达间波形的互相关干扰问题，同时还面临工作频段拥塞问题，尤其是工作在高频（HF）至超高频（UHF）的宽带组网雷达。针对上述问题，该文在信号恒模约束下，建立联合优化功率谱密度（Power Spectrum Density, PSD），以及自相关和互相关函数积分旁瓣电平（Integrated Sidelobe Level, ISL）的波形设计目标函数。利用离散傅里叶变换性质和特征子空间分解，提出一种低运算复杂度的循环迭代算法求解该目标函数。仿真结果表明，优化后各节点雷达发射波形具有稀疏频谱特性，同时还具有低自相关和互相关干扰旁瓣，所提算法具有较高的运算效率。

英文摘要：

Netted radar systems show great potential in improving the performance of radar detection, tracking and interference suppression. However, the systems suffer high auto-correlation and cross-correlations of transmitted waveforms. Meanwhile, they also have to face the congested spectrum environment, especially when some radars in the net working on High Frequency （HF） to Ultra High Frequency （UHF） band. To solve this issue, a new method for designing sparse frequency unimodular waveform with low range side lobes is proposed, which minimizes a new effective penalty function based on both requirements for the Power Spectrum Density （PSD） and Integrated Sidelobe Level （ISL）. An iterative algorithm based on FFT and subspace decomposition is proposed. The numerical examples show that the proposed approach is efficient in computation and flexible in designing sparse frequency waveform with low auto-correlation and cross-correlations.