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Blind estimation for PN code of LFM-PRBC signal based on DPT and spectrum shifting

机译:基于DPT和频移的LFM-PRBC信号PN码盲估计

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A new approach is proposed to blindly estimate the pseudo noise (PN) code of compound signal combined linear frequency modulation (LFM) and pseudo-random binary phase code (PRBC), which is based on methods of discrete polynomial-phase transform (DPT) and spectrum shifting. Firstly, the square method is adopted to eliminate phase mutation. Then, apply DPT method to estimate the chirp rate, which is used to reconstruct second order exponent. The original compound signal is multiplied by the conjugated second order exponent to get a new compound signal. And then, the original PN code can be restored from the real part of the new compound signal by the way of spectrum shifting. Simulation results show that the approach can correctly estimate PN code when the signal-to-noise ratio (SNR) is 3 dB, and performance will be improved with the increase of sub-pulse number. It also has a better performance compared with the method of FM-AM time-frequency analysis.
机译:提出了一种基于离散多项式-相位变换(DPT)的盲估计复合信号线性调频(LFM)和伪随机二进制相位码(PRBC)复合信号的伪噪声(PN)码的新方法和频谱偏移。首先,采用平方法消除相位突变。然后,应用DPT方法估计线性调频率,以重建二阶指数。原始复合信号乘以共轭二阶指数即可得到新的复合信号。然后,可以通过频谱移位的方式从新复合信号的实部恢复原始PN码。仿真结果表明,该方法能够在信噪比(SNR)为3 dB时正确估计PN码,并且随着子脉冲数的增加,性能会得到改善。与FM-AM时频分析方法相比,它还具有更好的性能。

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