共查询到19条相似文献,搜索用时 125 毫秒
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本文提出一种适用于码分多址系统的低复杂度自适应干扰消除接收机。 在此接收机中,我们首先基于第i个用户的第m个比特的输出引入一组可靠度因子 ,然后根据这组可靠度因子估算出多址干扰,最后通过执行干扰消除可得到符号判决值。通过在加性高斯白噪声信道和多径衰落信道中进行仿真。结果表明,本文提出的这种接收机方案的性能优越于传统检测器和一些已经存在的干扰消除算法,同时保持有较低的算法复杂度。 相似文献
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改进的LMS半盲自适应信道均衡技术 总被引:2,自引:1,他引:1
提出了一种改进的LMS算法,使基于该算法的半盲自适应信道均衡器适用于时变信道中OFDM系统。在DVB-T信道和WSSUS信道中对该算法进行仿真,结果表明该LMS算法对选择性衰落信道和移动信道都具有很好的跟踪性能。 相似文献
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一种用于数字QAM接收机的盲均衡器实现 总被引:1,自引:1,他引:0
提出了一种适用于数字QAM接收机的自适应盲均衡器实现方案。该均衡器采用多模算法(MMA)和最小均方算法(LMS),称为MMA—LMS算法结合判决反馈结构(DFE),即采用前向滤波器和反馈滤波器两级滤波器组实现,提高了信道的适应性能和降低均衡器的阶数。仿真结果表明,该均衡器比一般采用恒模算法(CMA)的横式均衡器有更好的性能,更易于硬件实现。 相似文献
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本文结合正交频分复用(OFDM)、格形编码调制(TCM)与差分编码,提出一种使用子信道交织技术的差分TC—OFDM系统,并在此基础上将信道估计引入系统接收机,提出了与解码相联合的SEWRLS自适应信道估计方法。计算机仿真结果表明,本文提出的联合系统能有效地克服宽带无线通信中的多径衰落,并在快衰落环境中具有很强的抗信道干扰能力。 相似文献
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提出了一种用于正交空时分组码(OSTBC:Orthogonal Space-Time Block Code)多发射天线多接收天线系统的盲自适应接收机.该方法主要利用了正交空时分组码的内在特性,给出了一个针对正交空时分组码多发射天线多接收天线系统的无约束代价函数,分析了该函数的全局最小值点.利用该无约束代价函数,通过投影逼近方法给出了递推最小二乘(RLS)自适应算法实现.仿真结果表明:该接收机可以很好的跟踪衰落信道的变化,在不利用导频信号的情况下很好的还原出原始的传输信号. 相似文献
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基于差分空时分组码的卡尔曼盲多用户检测 总被引:1,自引:0,他引:1
对大容量、高性能蜂窝通信系统的需求引起了人们对先进信号处理技术的极大兴趣,尤其是使用多个发射/接收天线,利用空域分集的处理技术更是受到了广泛关注。使用多个发射天线及差分空时分组码,可用一种新的适用于频率平坦信道的盲自适应多用户接收机。新方法不需要信道估计,它首先利用卡尔曼(Kalman)自适应滤波器抑制多址干扰,然后完成差分空时解码获得分集增益。计算机仿真结果表明该方法具有较强的抗衰落和抑制多址干扰的能力,并能自适应地跟踪信号环境的变化。 相似文献
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Direct adaptive realizations of the linear minimum mean-square error (MMSE) receiver for direct-sequence code-division multiple access possess the attractive feature of not requiring any explicit information of interference parameters such as timing, amplitudes, or spreading sequences; however, they need a training sequence for the desired user. Previously, a new blind adaptive receiver was proposed based on an anchored least mean-squared (LMS) algorithm that requires only the spreading code and symbol timing of the desired user but obviates the need for a training sequence. In this work, it is analytically demonstrated that the blind LMS algorithm always provides (nominally) faster convergence than the training driven LMS-MMSE receiver of but at the cost of increased tap-weight fluctuations or misadjustment. Second, the property that the optimal MMSE or minimum-output energy filter coefficients lies in the signal subspace is exploited to propose a new efficient blind adaptive receiver requiring fewer adaptive coefficients. Improved detector characteristics (superior convergence rates and steady-state signal-to-interference-plus-noise ratios) is indicated by analysis and supported by simulation 相似文献
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A blind adaptive technique for signal demodulation in multipath code-division multiple-access (CDMA) communication channels is proposed. This technique is based on signal subspace estimation. The receiver employs a bank of linear filters (decorrelating filters or linear MMSE filters) at the front end to mitigate the multiple-access interference and the multipath interference. A channel estimator is used to estimate the channel state for diversity combining. It is shown that through the use of signal subspace estimation, both the decorrelating filterbank and the linear MMSE filterbank can be obtained blindly, i.e., they can be estimated from the received signal with the prior knowledge of only the signature waveform of the desired user. Two forms of the subspace-based linear filterbanks are developed and their equivalence in terms of the interference suppression capability is established. These subspace-based blind adaptive interference suppression techniques require, at each symbol epoch, the eigenvalues and the eigenvectors of an appropriate signal subspace, which ran be obtained using computationally efficient sequential adaptive eigendecomposition (subspace tracking) algorithms. Moreover, a blind adaptive method for estimating the channel state is developed, which also produces the postcombining decision statistic as a byproduct 相似文献
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Blind adaptive minimum mean-squared errors (MMSE) receivers for multiuser direct-sequence code-division multiple access (DS-CDMA) systems that assume knowledge of the steering vector, i.e., the cross-correlation between the desired output and the input signal, are known for their robustness against channel fading as they do not attempt to explicitly track the channel of the user of interest. However, these receivers often have higher excess mean squared error and, hence, poorer performance than training-sequence based adaptive MMSE receivers. In this paper, an improved correlation matrix estimation scheme for blind adaptive MMSE receivers is provided. The new scheme takes advantage of the fact that the desired linear receiver can be expressed as a function of the interference correlation matrix only, rather than the total data correlation matrix. A theoretical analysis is performed for the flat fading case which predicts that the new estimation scheme will result in significant performance improvement. Blind adaptive MMSE receivers with the new estimation scheme appear to achieve performance comparable to the training-sequence based adaptive MMSE receivers. Detailed computer simulations for the fast multipath fading environment verify that the proposed scheme yields strong performance gains over previous methods 相似文献
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Interest in code division multiple access (CDMA) has increased dramaticallyin boththe industry and academia. This is due to the potential increase in usercapacity andinterference, multipath fading, and jam-resistant capabilities. Differentapproaches ofmultiuser detection schemes have shown improvement over the conventionalreceiver.However, multiuser detectors require system parameters and adaptive multiuserreceivers require training sequences. These parameters are difficult toobtain inmultipath fading channels with a degradation in performance. A blind adaptivemultiuser receiver for flat fading and frequency-selective fading environments isstudied in this paper. This receiver alleviates the problem of multiuser detectors and adaptivemultiuser receivers by using a blind adaptive equalization method. The structure of the receiveris similar to that of the adaptive MMSE receiver which consists of an adaptive equalizer and an adaptivemechanism that uses a standard least mean-squared (LMS) algorithm, but uses a matched filterto generate a reference signal. The receiver is shown to be effective in different fadingchannels with perfect power control and a near-far effect. Furthermore, the simulationresults show that the blind MMSE receiver outperforms the conventional receiver and theRAKE receiver. 相似文献
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A novel robust noncoherent receiver for minimum mean-squared error (MMSE) interference suppression for direct-sequence code-division multiple access (DS-CDMA) is proposed. The receiver consists of a linear MMSE filter and a decision-feedback differential detector (DF-DD). The performance of the proposed scheme is investigated analytically and by computer simulations. It is shown that the loss compared to coherent MMSE interference suppression is limited and can be made arbitrarily small by increasing the observation window used for calculation of the reference symbol of the DF-DD. Hence, the regarded noncoherent receiver is near-far resistant. For adjustment of the MMSE filter coefficients three noncoherent adaptive algorithms are proposed. In contrast to coherent adaptive algorithms, these noncoherent algorithms have the important advantage that they also converge if the channel phase is time-variant 相似文献
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Jun‐Da Chen Fang‐Biau Ueng Chien‐Hung Chen 《Wireless Communications and Mobile Computing》2015,15(1):71-86
In this paper, we propose three adaptive blind algorithms for multiuser multicarrier code division multiple‐access systems in multipath fading channels. The proposed adaptive blind receivers are based on the property of the discreteness of the input data symbol and are updated in every symbol interval. We also use the concept that the variance of the output signal approaches to the variance of the desired signal to get the cost function. The three proposed receiver structures are the traditional finite impulse response (FIR) structure, the despreading (DES) filter structure and the generalized sidelobe canceller (GSC) structure. The advantage of the FIR filter is that the length of the filter weights does not have to be the same length as the spreading code. For the DES filter, the combination of the adaptive weight and the despreading code has the simplest structure than the other two proposed receiver structures. The constrained GSC filter is superior to the other two proposed receiver structures in the environments dominated by multiple‐access interference. By this constraint, the blind GSC filter can guarantee to converge to the desired solution. Simulation results are given to show the effectiveness and comparison of the proposed adaptive blind receivers. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
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S. Nayeb Nazar W.-P. Zhu M.O. Ahmad M.N.S. Swamy 《Circuits, Systems, and Signal Processing》2004,23(5):409-432
In this paper, the problem of multiuser detection for synchronous code division
multiple access systems in both additive white Gaussian noise and multipath channels is
addressed. A new multiuser detection receiver that uses an adaptive blind array along with
an adaptive parallel interference canceler is proposed. The replacement of a conventional
antenna array with a two-dimensional RAKE receiver is also considered for frequency
selective Rayleigh fading channels. By using a constrained optimization criterion along
with the gradient-projection algorithm, a blind algorithm for the adaptation of the array response
vector is proposed. The new algorithm is superior to a few typical blind algorithms
in the literature in terms of both performance and computational complexity. The proposed
receiver has the ability to cancel very strong multiple access interference coming from the
same direction as the desired signal. Simulation results are presented to show the excellent
performance of the proposed combination scheme in comparison to that of using either a
multiuser detection or adaptive antenna arrays in a severe near-far situation. 相似文献