Parameter Estimation of DSSS Signals with Line Enhancement

摘要：

A new adaptive estimator for direct sequence spread spectrum (DSSS) signals using fourth-order cumulant based adaptive method is considered. The general higher-order statistics may not be easily applied in signal processing with too complex computation. Based on the fourth-order cumulant with 1-D slices and adaptive filters, an efficient algorithm is proposed to solve the problem and extended for non-stationary stochastic processes. In order to achieve accurate parameter estimation of direct sequence spread spectrum (DSSS) signals, the first step uses the modified fourth-order cumulant to reduce the computing complexity. While the second step employs an adaptive recursive system to estimate the power spectrum in the frequency domain. For the case of intercepted signals without large enough data samples, the estimator provides good performance in parameter estimation and white Gaussian noise suppression. Computer simulations are included to corroborate the theoretical development with different signal-to-noise ratio conditions and recursive coefficients.

关键词： Parameter estimation DSSS signal line enhancement.

作者: Xiao-Ming Zhang Zhong-Zhao Zhang

作者单位: Communication research Center Harbin Institute of Technology Harbin ,Heilongjiang Province, China Communication Research Center Harbin Institute of Technology Harbin, Heilongjiang Province, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 127-132

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）