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现代高速卫星通信、遥感,以及远程侦查无人机的数据传输速率可达Mb/s甚至Gb/s,码间干扰和群延时不可忽视。针对卫星通信的应用,提出了一种易于实现的Laguerre算法,和有利于消除码间干扰和群时延的分数间隔结构,设计出了一种高效地盲均衡器。Laguerre算法采用有限的滤波阶数,就可以达到IIR长脉冲滤波的效果;而分数间隔均衡器(FSE)能够降低采样相位敏感性,可以有效改善由于位同步相位误差造成的性能损失,分数间隔均衡器的设计目标立足于具有较好性能和易于工程上FPGA的实现。文中通过仿真均衡前后误码增益,得到几种不同信道下的均衡器的性能理论曲线,可以为高速数传均衡器设计提供有益参考。
Modern high-speed satellite communications, remote sensing, and remote reconnaissance UAV data rates up to Mb / s or even Gb / s, intersymbol interference and group delay can not be ignored. Aiming at the application of satellite communication, an easy-to-implement Laguerre algorithm and a fractional interval structure to eliminate intersymbol interference and group delay are proposed. An efficient blind equalizer is designed. The Laguerre algorithm uses a finite filter order to achieve the effect of IIR long pulse filtering. The fractional-interval equalizer (FSE) can reduce the phase sensitivity of the sampling and can effectively improve the performance loss due to the bit-synchronization phase error. The fractional-interval equalization The design goal of the device is based on the FPGA with better performance and ease of engineering. In this paper, the performance curve of equalizer under several different channels is obtained by simulating the error gain before and after equalization, which can provide useful reference for the design of high-speed digital equalizer.