高频地波雷达稀疏频率波形优化设计

高频地波雷达(High Frequency Surface Wave Radar, HFSWR)面临多种无线通讯系统的同频窄带干扰，发射具有频域稀疏的优化波形能够有效抑制干扰，改善HFSWR的检测性能。针对最优干扰抑制稀疏频率波形旁瓣较高及传统波形优化设计算法收敛速度较慢的问题，该文提出一种基于旁瓣约束的稀疏频率波形快速优化设计方法。首先建立了联合优化功率谱密度(Power Spectrum Density, PSD)和积分旁瓣电平(Integrated Sidelobe Level, ISL)的波形设计目标函数。随后提出了一种循环相位共轭梯度最优波形快速求解算法，该算法收敛速度快，运算量低。优化波形能够有效抑制同频窄带干扰，且旁瓣较低，有较强的战场环境适应能力。仿真结果表明了该方法的优越性。

Sparse Frequency Waveform Design for High Frequency Surface Wave Radar

One of the main objectives of High Frequency Surface Wave Radar(HFSWR) is to adapt the spectrum of transmit waveform to avoid narrowband interferences of wireless communication systems.Sparse frequency waveform that contains several individual clear bands and stop bands is a desirable solution to this problem.Besides spectral requirements,good correlation properties of transmit waveform are also desired in specific applications,such as the range side lobe.Moreover,practical hardware constraints require real-time algorithm which has a fast convergence rate.In this paper,a new penalty function is proposed based on both requirements for the Power Spectrum Density(PSD) and the Integrated Sidelobe Level(ISL).Then,the phase-only conjugate gradient method with very fast convergence rate is proposed to solve this problem.The proposed approach is efficient in computation and flexible in designing waveform.Optimized waveform can effectively suppress narrowband interference and have low ISL.The validity of the proposed method is illustrated by numerical example.