针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进...针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进行时域平均,获得平均自相关信号;最后,利用频率估计的MC算法计算平均自相关信号的频率,得到频率估计值。计算验证和实测实验表明,在信噪比为-10-15 d B时所提算法频率估计精度高于MC算法及其现有改进算法,改善了LFMCW雷达的测距精度。展开更多
多段正弦信号频谱融合法(简称"原融合算法")是提高低信噪比条件下正弦信号频率估计精度的一条有效途径,具有重要研究意义和应用价值。为满足雷达、声纳、电子对抗等实时性要求较高的频率估计应用需求,提出多段正弦信号快速频...多段正弦信号频谱融合法(简称"原融合算法")是提高低信噪比条件下正弦信号频率估计精度的一条有效途径,具有重要研究意义和应用价值。为满足雷达、声纳、电子对抗等实时性要求较高的频率估计应用需求,提出多段正弦信号快速频谱融合算法。该方法通过设计离散时间傅里叶变换(Discrete Time Fourier Transform,DTFT)快速算法、降维处理加权融合频谱矩阵和1/3主瓣相关性分析处理等措施来降低算法计算量,提高实时性。重点对上述三项措施的原理进行了阐述与分析。计算量对比和仿真实验表明,多段正弦信号快速频谱融合算法在精度损失极小的前提下,能够大幅降低计算量;在信噪比极低的情况下(SNR≤-13 dB),其性能略优于原融合算法。展开更多
This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multipl...This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multiple radars signal fusion improving the range resolution is analyzed. With the analysis of return signals received by two radars,it is derived that the phase difference between the echoes varies almost linearly with respect to the frequency if the distance between two radars is neg-ligible compared with the radar observation distance. To compensate the phase difference,an en-tropy-minimization principle based compensation algorithm is proposed. During the fusion process,the B-splines interpolation method is applied to resample the signals for Fourier transform imaging. The theoretical analysis and simulations results show the proposed method can effectively increase signal bandwidth and provide a high resolution range profile.展开更多
文摘针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进行时域平均,获得平均自相关信号;最后,利用频率估计的MC算法计算平均自相关信号的频率,得到频率估计值。计算验证和实测实验表明,在信噪比为-10-15 d B时所提算法频率估计精度高于MC算法及其现有改进算法,改善了LFMCW雷达的测距精度。
文摘多段正弦信号频谱融合法(简称"原融合算法")是提高低信噪比条件下正弦信号频率估计精度的一条有效途径,具有重要研究意义和应用价值。为满足雷达、声纳、电子对抗等实时性要求较高的频率估计应用需求,提出多段正弦信号快速频谱融合算法。该方法通过设计离散时间傅里叶变换(Discrete Time Fourier Transform,DTFT)快速算法、降维处理加权融合频谱矩阵和1/3主瓣相关性分析处理等措施来降低算法计算量,提高实时性。重点对上述三项措施的原理进行了阐述与分析。计算量对比和仿真实验表明,多段正弦信号快速频谱融合算法在精度损失极小的前提下,能够大幅降低计算量;在信噪比极低的情况下(SNR≤-13 dB),其性能略优于原融合算法。
文摘This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multiple radars signal fusion improving the range resolution is analyzed. With the analysis of return signals received by two radars,it is derived that the phase difference between the echoes varies almost linearly with respect to the frequency if the distance between two radars is neg-ligible compared with the radar observation distance. To compensate the phase difference,an en-tropy-minimization principle based compensation algorithm is proposed. During the fusion process,the B-splines interpolation method is applied to resample the signals for Fourier transform imaging. The theoretical analysis and simulations results show the proposed method can effectively increase signal bandwidth and provide a high resolution range profile.
