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针对通信侦察中直扩信号伪随机(PN)序列估计的实际应用,对基带数据采用子空间分解的方法求得相互正交的特征向量;根据PN码序列自相关函数旁瓣能量低的原理,提出旁瓣能量检测系数,确定该对向量的相对相位,实现直扩序列波形的重构。该仿真算法克服了单纯子空间分解法中求解的部分数据段反相的缺点。仿真实验给出了不同信噪比下和不同数据长度时算法的性能仿真分析,表明该算法对PN序列的估计是十分有效和可靠的。
Aiming at the practical application of Pseudorandom (PN) sequence estimation of DSSS signals in communication reconnaissance, the orthogonal eigenvectors are obtained by using the method of subspace decomposition for baseband data. According to the principle that the energy of side lobe of PN code sequence is low, The sidelobe energy detection coefficient is proposed to determine the relative phase of the pair of vectors to realize the reconstruction of the DS sequence waveform. The simulation algorithm overcomes the shortcoming of inverting some data segments solved in the simple subspace decomposition method. The simulation results show that the algorithm is very effective and reliable for the PN sequence estimation when the SNR is different and the data length is different.