基于导频的OFDM信道估计

从最小二乘和最小均方误差两种估计准则出发，结合OFDM多载波并行传输中符号时间长度大于信道冲散响应持续时间的特点，在块状和梳状导频图案下。导出了时域和频域的信道估计算法。最后采用广义平稳非相关散射假设下的多径时变瑞利衰落信道模型。对各个算法进行了仿真,比较了不同导频图案下备算法对系统误符号率的影响，分析结果表明。当导频数大于以采样间隔为量度的等效信道长度时。时域估计比频域估计精度更高;当导频数目小于等效长度时,最小均方估计优于最小二乘估计。     

宽带移动卫星通信信道模型研究

从多径衰落、阴影效应和多普勒效应三个方面研究宽带移动卫星通信信道的频率色散特性和多普勒功率谱非对称特性。基于WSSUS模型提出宽带移动卫星通信信道的统计模型。采用蒙特卡洛仿真方法对农村地区和城市地区两种信道的冲激响应和误码率特性进行仿真。仿真结果表明该信道模型能够真实反映宽带移动卫星通信信道的特性,对卫星通信系统关键技术设计具有参考价值。     

对流层散射通信信道建模及系统性能仿真

对流层散射通信是一种利用对流层媒质的不均匀性来实现超视距通信的方式.在分析对流层散射信道的统计特性的基础上,根据WSSUS假设建立了快衰落特性下的散射信道仿真模型,并进行了系统性能的实验仿真.同时通过理论计算,得出了该信道误码率的理论曲线,并与仿真结果进行比较,证明了对流层散射信道模型的合理性,该模型为分析系统的性能提供了一个有效的系统平台.     

Performance of multi level‐turbo coding with neural network‐based channel estimation over WSSUS MIMO channels

This paper presents the performance of the transmit diversity‐multi level turbo codes (TD‐MLTC) over the multiple‐input–multiple‐output (MIMO) channels based on the wide sense stationary uncorrelated scattering (WSSUS). The multi level‐turbo code (ML‐TC) system contains more than one turbo encoder/decoder block in its structure. At the transmitter side, the ML‐TC uses the group partitioning technique that partitions a signal set into several levels and encodes each level separately by a proper component of the encoder to improve error performance. The binary input sequence is passed through the MLTC encoder and mapped to 4‐PSK and then fed into the transmit diversity scheme for high data transmission over wireless fading channels. At the receiver side, distorted multi‐path signals are received by multiple receiver antennae. WSSUS MIMO channel parameters are estimated by using an artificial neural network and an iterative combiner. Input sequence of the first level of the MLTC encoder is estimated at the first level of MLTC decoder. Subsequently, the other input sequences are computed by using the estimated input bit streams of the previous levels. 4‐PSK two‐level turbo codes are simulated for 2T_x?1R_x and 2T_x?2R_x antenna configurations over WSSUS MIMO channels. Here, TD‐MLTC and its efficient implementations are discussed and simulation results are given. Copyright © 2008 John Wiley & Sons, Ltd.     

基于MC法的低空无线信道模型可信性验证

分析低空无线信道的多径时延、多普勒效应等传输特性,利用广义平稳非相关散射模型,根据信道在停场、航行、近场、过顶 4种不同场景下的特性,分别建立相应的信道模型。采用蒙特卡罗法对模型的可信性进行验证,结果表明,该信道模型能真实地反映低空无线信道的特性。     

UHF频段卫星移动信道建模与仿真

分析了UHF频段卫星移动信道衰落特性,分析了4种典型场景下多径分量的多普勒功率谱和多径时延功率谱。利用WSSUS模型,结合电离层闪烁和阴影效应的程度,分别建立了4种场景下的信道模型。根据理论计算和参考文献分析了不同场景下信道的参数,对卫星移动信道模型进行了仿真,并给出了不同场景的误码率性能曲线。仿真结果表明,该信道模型能够真实反映UHF卫星移动信道的特性,对于卫星移动通信系统关键技术的研究具有指导意义。     

WSSUS衰落信道下的跟踪算法研究

无线WSSUS衰落信道是时变信道,其信道参数随着时间的变化而变化。通常采用的经典跟踪算法（RLS算法）中的重要参数遗忘因子是固定值,这使得算法跟踪时变信道时性能无法保障。对均方误差（MSE）进行了分析,并在此基础上得到基于MSE梯度控制的可变遗忘因子VFF-RLS算法。仿真结果表明MSE分析结果正确;与经典算法相比较,VFF-RLS具有较小的MSE,更适合跟踪WSSUS信道。     

无人机测控与信息传输信道的建模与仿真设计

分析了无人机测控与信息传输系统中传输信道的特点,针对无人机飞行中不同的状态和环境条件,建立了不同的信道模型,并在此基础上,设计了一个可用于无人机测控与信息传输系统设计的信道仿真器,该仿真器通过设置不同的参数,可对无人机飞行中所处的不同通信信道进行仿真,以全面验证无人机测控与信息传输系统中所采用的传输技术性能及接收机性能。     

移动通信中无线信道特性的研究

从等效低通信道的时变冲激响应的相关函数和功率密度谱函数出发,研究了一些描述广义平稳非相关散射(WSSUS)的无线信道特性的统计参数,并对无线移动衰落信道的特性进行分类。分析了3种常见的小尺度多径衰落信道的统计模型,给出了在平坦衰落信道中系统传输比特误码率的一般分析方法。最后,利用这些模型和方法,给出了一些常见数字调制信号的传输误码率的数值结果。结果表明：衰落对无线移动通信系统传输性能的影响是很大的,在实际中应设法消除它。     

Performance of multilevel‐turbo codes with blind/non‐blind equalization over WSSUS multipath channels

In this paper, in order to improve error performance, we introduce a new type of turbo codes, called ‘multilevel‐turbo codes (ML‐TC)’ and we evaluate their performance over wide‐sense stationary uncorrelated scattering (WSSUS) multipath channels. The basic idea of ML‐TC scheme is to partition a signal set into several levels and to encode each level separately by a proper component of the turbo encoder. In the considered structure, the parallel input data sequences are encoded by our multilevel scheme and mapped to any modulation type such as MPSK, MQAM, etc. Since WSSUS channels are very severe fading environments, it is needed to pass the received noisy signals through non‐blind or blind equalizers before turbo decoders. In ML‐TC schemes, noisy WSSUS corrupted signal sequence is first processed in equalizer block, then fed into the first level of turbo decoder and the first sequence is estimated from this first Turbo decoder. Subsequently, the other following input sequences of the frame are computed by using the estimated input bit streams of previous levels. Here, as a ML‐TC example, 4PSK 2 level‐turbo codes (2L‐TC) is chosen and its error performance is evaluated in WSSUS channel modelled by COST 207 (Cooperation in the field of Science & Technology, Project #207). It is shown that 2L‐TC signals with equalizer blocks exhibit considerable performance gains even at lower SNR values compared to 8PSK‐turbo trellis coded modulation (TTCM). The simulation results of the proposed scheme have up to 5.5 dB coding gain compared to 8PSK‐TTCM for all cases. It is interesting that after a constant SNR value, 2L‐TC with blind equalizer has better error performance than non‐blind filtered schemes. We conclude that our proposed scheme has promising results compared to classical schemes for all SNR values in WSSUS channels. Copyright © 2005 John Wiley & Sons, Ltd.