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Frequency offset estimation algorithm of spread spectrum coherent heterodyne based on ISFT

机译:基于ISFT的扩频相干外差频偏估计算法

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Satellite to ground laser uplink is seriously affected by atmospheric environment, resulting in greater power attenuation than downlink. Uplink is used to transmit low speed instructions and control signals. In order to improve the sensitivity of satellite to ground uplink, and reduce the influence of large frequency offset on receiver, coherent heterodyne detection and spread spectrum technique are applied to uplink. To cut down the consumption of resources on the satellite, the inverse sparse Fourier transform (ISFT) is used to reduce the computational complexity of the frequency offset estimation algorithm. The frequency offset estimation algorithm based on ISFT is theoretically analyzed and validated by simulation. The simulation results reveal that compared with the direct detection of 16PPM, the sensitivity of spread spectrum coherent heterodyne detection is improved by 16dB when the error rate is 10-8. In the high signal-to-noise ratio environment at satellite to ground uplink, ISFT can estimate the frequency offset as accurate as IFFT while saving computational complexity.
机译:卫星到地面的激光上行链路受到大气环境的严重影响,导致功率衰减比下行链路更大。上行链路用于传输低速指令和控制信号。为了提高卫星对地面上行链路的灵敏度,并减小大频偏对接收机的影响,相干外差检测和扩频技术被应用于上行链路。为了减少卫星上的资源消耗,使用了稀疏逆傅立叶变换(ISFT)来减少频率偏移估计算法的计算复杂性。对基于ISFT的频偏估计算法进行了理论分析和仿真验证。仿真结果表明,与直接检测16PPM相比,当误码率为10 -8 时,扩频相干外差检测的灵敏度提高了16dB。在卫星到地面上行链路的高信噪比环境中,ISFT可以估算出与IFFT一样精确的频率偏移,同时节省了计算复杂性。

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