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为解决低信噪比下直扩信号的参数估计问题,提出了一种基于H aar小波变换实现直扩信号伪码(PC码)速率和符号周期盲估计的新型算法。阐述了小波变换表征和检测直扩信号相位瞬变的原理,给出了直扩信号小波变换的具体形式。通过对直扩信号小波变换频谱特征的具体推导,详细论述了通过小波变换提取这两个参数的算法原理和具体步骤。仿真实验表明,在码元数为400及扩频因子为63的参数条件下,该文所提出的伪码速率和符号周期估计算法可至少工作在-18 dB和-14 dB的低信噪比下,且其性能优于某些典型的算法。
In order to solve the parameter estimation of DSSS signals at low signal-to-noise ratio (SNR), a novel algorithm based on H aar wavelet transform is proposed to realize direct-sequence spread spectrum signal pseudo-code (PC) rate and symbol period blind estimation. The principles of wavelet transform characterization and detection of phase transients of DSSS signals are expounded, and the specific forms of DWT signals are given. Through the concrete derivation of the spectral features of the DWT signal, the algorithm principle and concrete steps of extracting these two parameters by wavelet transform are discussed in detail. The simulation results show that the code rate and symbol period estimation algorithm proposed in this paper can operate at least at low signal-to-noise ratio of -18 dB and -14 dB under the parameters of 400 symbols and spreading factor of 63 , And its performance is superior to some typical algorithms.