基于联合极性迭代的载波相位恢复盲均衡算法

为了克服基于统计特性均衡准则的线性盲均衡器均方误差大、计算复杂及多途信道引起的载波相位旋转等问题,在研究基于极性迭代的线性盲均衡器与判决引导盲均衡器的基础上,引入数字锁相环技术,提出了一种基于联合极性迭代的载波相位恢复盲均衡算法.该算法利用极性算法来减小计算量,利用判决引导算法来减小均方误差,利用锁相环技术来克服多径衰落信道引起的载波相位旋转.水声信道盲均衡的仿真结果表明:该算法均方误差小,收敛速度快,计算复杂度低,并能快速纠正信道引入的载波相位旋转.

Mixed Sign Iteration based Blind Equalization Algorithm for Carrier Phase Recovery of QAM Signals

For overcoming the high computational complexity and large Mean Square Error (MSE) of LBE (Linear Blind Equalizer based on statistic equalization criterion), on the basis of the research on SGLBE (Sign Gradient iteration based Linear Blind Equalizer) and SEDD (Sign Error Iteration based Decision-Directed algorithm), a mixed sign iteration based blind equalizer for carrier phase recovery of QAM signals was proposed. In this proposed equalizer, Phase-Locked Loop (PLL) was introduced, the computational loads of LBE and PLL could be reduced using the sign algorithm, signed-error was employed for reducing the computational complexity of DD algorithm, and the carrier phase rotation of QAM signals introduced by multi-path fading channels could be combated via PLL. The simulation results show that the proposed equalizer has low MSE and computational complexity, fast convergence rate, and can effectively correct the channel-introduced carrier phase rotation.