The m series with 511 bits is taken as an example being applied in non-coherent integra- tion algorithm. A method to choose the bi-phase code is presented, which is 15 kinds of codes are picked out of 511 kinds of m s...The m series with 511 bits is taken as an example being applied in non-coherent integra- tion algorithm. A method to choose the bi-phase code is presented, which is 15 kinds of codes are picked out of 511 kinds of m series to do non-coherent integration. It is indicated that the power in- creasing times of larger target sidelobe is less than the power increasing times of smaller target main- lobe because of the larger target＇ s pseudo-randomness. Smaller target is integrated from larger tar- get sidelobe, which strengthens the detection capability of radar for smaller targets. According to the sidelobes distributing characteristic, a method is presented in this paper to remove the estimated sidelobes mean value for signal detection after non-coherent integration. Simulation results present that the SNR of small target can be improved approximately 6. 5 dB by the proposed method.展开更多
工作于高频(HF)、甚高频(VHF)和超高频(UHF)拥塞频段的宽频带雷达,面临频带使用限制以及多种无线通讯系统同频窄带干扰的问题.对此,该文以峰均功率比(peak-to-average power ratio,PAR)为约束条件,建立联合优化功率谱密度(power spectru...工作于高频(HF)、甚高频(VHF)和超高频(UHF)拥塞频段的宽频带雷达,面临频带使用限制以及多种无线通讯系统同频窄带干扰的问题.对此,该文以峰均功率比(peak-to-average power ratio,PAR)为约束条件,建立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,提出了一种基于快速傅里叶变换和子空间分解的循环迭代算法求解目标函数的方法.仿真实验结果表明,经过优化的波形在提高多频段限制中频谱利用率的同时,有效地抑制了窄带干扰且具有较低的旁瓣.展开更多
基金Supported by the National Natural Science Foundation of China(Youth Science Fund)(61001190)
文摘The m series with 511 bits is taken as an example being applied in non-coherent integra- tion algorithm. A method to choose the bi-phase code is presented, which is 15 kinds of codes are picked out of 511 kinds of m series to do non-coherent integration. It is indicated that the power in- creasing times of larger target sidelobe is less than the power increasing times of smaller target main- lobe because of the larger target＇ s pseudo-randomness. Smaller target is integrated from larger tar- get sidelobe, which strengthens the detection capability of radar for smaller targets. According to the sidelobes distributing characteristic, a method is presented in this paper to remove the estimated sidelobes mean value for signal detection after non-coherent integration. Simulation results present that the SNR of small target can be improved approximately 6. 5 dB by the proposed method.
