位同步

对现代移动通信技术进行概括。 第一章 无线信道 第二章 分集接收与最佳接收 第三章 扩频信号 第四章 信道辨识与均衡 第五章 多用户检测 第六章 阵列信号处理 第七章 通信中的自适应阵列处理 第八章 CDMA系统的信号处理(Modern mobile communications technology to generalize. Chapter I Chapter II radio channel with diversity reception and the best spread-spectrum signals received Chapter IV channel identification and equalization Chapter V Chapter VI Multi-User Detection of Chapter VII of communication array signal processing adaptive array processing in Chapter VIII CDMA system, signal processing)

bpsk 调制 使用的是matlab(bpsk modulation)

matlab中使用FFT算法求两个信号的时频二维（互模糊）函数，可以实现信号的时延、多普勒频移联合估计（需要根据实际场景适当修改参数）(oint estimation matlab frequency two-dimensional FFT algorithm seeking the two signals (cross ambiguity) function, signal delay, Doppler shift)

OQPSK信号的频率估计，用的是相位与时钟联合估计算法，适用于突发的卫星信号等(OQPSK signal frequency estimation, using a phase estimation algorithm combined with the clock for emergency satellite signals)

说明：  分数阶傅里叶法对LFM信号进行检测和参数估计的参考文献，可以参考原理。(The reference of fractional Fourier method for LFM signal detection and parameter estimation can refer to the principle.)

Problems and their solutions

通过伪随机序列进行频率调制，并对相位连续性进行优化。调制信号的自相关函数可以通过谱修正进行旁瓣抑制(Frequency modulation is performed by pseudo-random sequence and phase continuity is optimized. The autocorrelation function of modulation signals can be sidelobe suppressed by spectral correction)

仿真了高斯白噪声，并通过巴特沃夫滤波器生成高斯色噪声(The gaussian noise was simulated and the gaussian noise was generated through the butterworth filter)

D2D通信matlab仿真，基于matlab的D2D设备到设备通信系统模型仿真(Simulation of D2D Communication with MATLAB)

实现4psk调制 理论和实际对比的误码率曲线输出(4PSK modulation error rate output)