| 1. | The study on decision feedback equalizer based on channel estimation
基于信道估值的判决反馈均衡器研究 |
| 2. | The simulation result indicated the decision - feedback equalizer ( dfe ) had good adaptability to hf channel . the converaging behavior and tracking behavior of two kinds of the adaptive algorithm - lms algorithm and rls algorithm were analysized
分析了2大类自适应算法? ? lms和rls算法的收敛和跟踪性能，仿真结果表明了rls算法具有良好的跟踪和收敛性能。 |
| 3. | Comparison study between the constant modulus decision feedback equalizer ( dfe ) and several others is made on combating the frequency selective fading of uwac , and their tracking performance to time varying is also investigated
?针对水声信道的频率选择性衰落，对比研究了常数模判决反馈盲均衡算法与其它几种盲均衡算法的性能。针对水声信道的时变特性，研究了该算法的跟踪摘要性能。 |
| 4. | The matlab language and c language were applied to simulate the fixed - point dsp arithmetic of equalizer algorithm . the simulation result indicated the diveragence phenomenon would happen to adfe ( adaptive decision feedback equalizer ) based on rls algorithm under the fixed - point finite - precision arithmetic
采用matlab和c语言模拟均衡器定点dsp算法的实现，仿真结果表明rls算法的自适应判决反馈均衡器( adfe )在定点有限字长运算的情况下存在着发散现象。 |
| 5. | The proposed algorithm outperforms blind linear equalizer ( le ) based on statistical equalization criterion in reducing the mse and compensating for the carrier phase rotation and blind linear decision feedback equalizer ( ldfe ) based on statistical equalization criterion in improving convergent speed
因此，该算法在减小均方误差与补偿相位旋转方面的性能优于基于统计特性均衡准则的线性盲均衡算法；在收敛速度方面的性能优于基于统计特性均衡准则的线性判决反馈盲均衡算法。 |
| 6. | Firstly , a new joint filterbank precoders and decision feedback equalizers structure is proposed , and the corresponding optimization result based on the maximal mutual information criterion is derived . secondly , the concept of dt canonical model is proposed , which is very suitable for the task of blind signal processing based on the second - order statistical of the observations . thirdly , the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model , and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文创新性的成果在于：提出了预编码-判决反馈联合均衡系统结构，并从理论推导得出了对应的最大互信息量最优化设计结果；首次提出了时变色散信道的离散正则模型概念，该模型适宜于利用观察数据的二阶统计量进行盲信号处理；基于离散正则模型对时变色散信道进行了系统的盲均衡和盲辨识方法研究，提出了对时不变信道矩阵的子空间盲辨识算法；针对误差传播效应问题，提出了可以消除误差传播效应的两级盲辨识算法；提出了基于离散正则模型的直接盲均衡算法；提出了基于特征恢复思想的神经网络直接自适应盲均衡算法。 |
| 7. | In chapter 3 , based on the idea of joint equalization , we adopt the decision feedback equalizers to perform the second equalization to overcome the problem of filterbank precoders - linear equalizers joint optimization proposed recently , and get a new optimal result
在第三章中，基于联合均衡的思想，针对国际上最新提出的滤波器组预编码-线性均衡最优设计中存在的问题，文章提出了采用判决反馈均衡器完成二次摘要均衡，以消除残留的块间干扰，得到了新的最优设计结果。 |
| 8. | For greatly overcoming the carrier phase rotation resulting from multipath underwater acoustic channel and large mean square error ( mse ) at convergent end of linear equalizer ( le ) based on higher order statistics , statistical equalization criterion based blind linear sign decision feedback equalizer ( lsdfe ) was proposed
摘要为了克服多途水声信道引起信号的相位旋转及基于高阶统计量的线性均衡器( le )收敛后均方误差大的不足，提出了基于统计特性均衡准则的线性符号判决反馈盲均衡算法。 |
| 9. | In this chapter , cck codeword has been described . following this are the algorithm of cck receiver scheme , includeing maximum likelihood receiver under awgn channel - rake and rake - isi receiver based on the channel matched filter and decision feedback equalizer . chapter 5 is a report about the receivers performance simulations
在这一章中对cck调制及码字的特点进行详细描述，随后详细阐述我们所采用的几种cck接收机方案中的算法，包括加性噪声信道下的最大似然接收机、基于信道匹配滤波器的rake接收机、带isi删除的rake接收机(即rake - isi ) 、带isi和ici删除的rake接收机(即rake - isi ici )以及判决反馈均衡器。 |
| 10. | We propose the joint filterbank precoders and decision feedback equalizers structure at first , by which the dispersive channel is equivallent into parallel independent flat fading subchannels such that the diversity gain of the receiver is increased . then we adopt the discrete - time ( dt ) canonical model to convert the problem of blind signal processing of tv dispersive channels into processing the time - invariant multi - channels model blindly , and discuss the problem of blind equalization and identification of tv dispersive channels based on this new model
第一种是采用滤波器组联合均衡方法将色散信道等价为一组独立的平坦衰落子信道，以提高接收机的分集增益；另外一种是提出采用离散正则模型将时变色散信道的盲信号处理转化为时不变多信道模型的盲信号处理，并针对该模型对时变色散信道的盲均衡与盲辨识方法进行了详细讨论。 |
