The Multi-Target constant modulus algorithm (MT-CMA) can blindly separate multiple co-channel signals captured by an antenna array. It sequentially calculates the unknown weight vectors by executing CMA on a subspace ...
详细信息
ISBN:
(纸本)9781424406586
The Multi-Target constant modulus algorithm (MT-CMA) can blindly separate multiple co-channel signals captured by an antenna array. It sequentially calculates the unknown weight vectors by executing CMA on a subspace spanned by these vectors, and estimates the weight vectors of all users. Thus, it needs to precisely estimate the subspace by using the calculated weight vectors. The conventional estimation method is to estimate the subspace assuming that the array output signals are orthogonal. However, when the Signal-to-Noise Ratio (SNR) is low, the subspace estimation accuracy is degraded due to the failure of orthogonality. To overcome this problem, we propose a new subspace estimation method for MT-CMA. It estimates the subspace by using eigen-value decomposition of the received signals' covariance matrix, which is independent of signal orthogonality. Computer simulation results show that the proposed algorithm achieves a 10% improvement of user capacity or 5.0dB improvement in required CNR. Moreover, the BER performance of the proposed algorithm is close to that of MMSE.
In this paper, we derive a concurrent constant modulus algorithm (CMA) and decision directed (DD) scheme for blind multiuser equalisation, suitable for downlink DS-CDMA systems. Adaptation is performed by concurrently...
详细信息
ISBN:
(纸本)0780394038
In this paper, we derive a concurrent constant modulus algorithm (CMA) and decision directed (DD) scheme for blind multiuser equalisation, suitable for downlink DS-CDMA systems. Adaptation is performed by concurrently minimising two cost functions based on either a CM criterion or a DD scheme for all active users. Computer simulations are used to assess the performance of the algorithm.
In a multi-user direct sequence code division multiple access (DS-CDMA) system, retrieval of the transmitted signals with a conventional receiver is difficult when there is chip asynchronism, multipath propagation and...
详细信息
ISBN:
(纸本)0780374029
In a multi-user direct sequence code division multiple access (DS-CDMA) system, retrieval of the transmitted signals with a conventional receiver is difficult when there is chip asynchronism, multipath propagation and the associated near-far problem. The results show that despite these problems an adaptive linear receiver based on a mixed cross correlation and constant modulus algorithm (CC-CMA) has the potential to retrieve all users simultaneously. In this paper, we propose several algorithms based on Quasi-Newton type algorithms. Compared with the conventional CC-CMA algorithm, the proposed algorithms achieve faster convergence at low computational cost. Simulations support the improved convergence properties of the algorithm.
The constant modulus algorithm (CMA) enjoys widespread popularity as methodsfor blind beamform-ing and equalization of communication signals, CMA is straightforward toimplement, robust, and computationally of moderate...
详细信息
The constant modulus algorithm (CMA) enjoys widespread popularity as methodsfor blind beamform-ing and equalization of communication signals, CMA is straightforward toimplement, robust, and computationally of moderate complexity. Furthermore, it is insensitive toarray imperfection. In an environment containing multiple constantmodulus signals, the signalextracted by CMA depends on the relative power of the incident signals. According previous works,the CMA is prone to capture the strongest constantmodulus (CM) signal at the output of the *** this paper, we show that the weak CM signal could be recovered by CMA_(1-2) and CMA_(2-1) whensetting special step-size. Simulation examples confirm our remarks.
The constant modulus algorithm (CMA)enjoys widespread popularity as methods for blind beamforming and equalization of communication signals. CMA is straightforward to implement, robust, and computationally of modest c...
详细信息
ISBN:
(纸本)0780374886
The constant modulus algorithm (CMA)enjoys widespread popularity as methods for blind beamforming and equalization of communication signals. CMA is straightforward to implement, robust, and computationally of modest complexity. Despite its effectiveness and apparent simplicity, adaptive implementation of the CMA comes along with several complicating factors that have never really been solved. In particular, convergence can be unpredictable and slow depending on the stepsize. In this paper, Convergence behaviors of the constant modulus algorithm based on "1-2" cost, function (CMA(1-2)) and "2-1" cost function (CMA(2-1)) are investigated. We found that certain signal could be quickly removed from the output data choosing special stepsize if at least two signals were with different power. Simulation examples confirm the results.
The constant modulus algorithm (CMA) and subspace approach are both blind algorithms, which are applied in the communication signal processing widely. We combine the CMA with the subspace approach and propose the CM_S...
详细信息
The constant modulus algorithm (CMA) and subspace approach are both blind algorithms, which are applied in the communication signal processing widely. We combine the CMA with the subspace approach and propose the CM_SUB blind equalization algorithm. Simulation results show that the proposed CM_SUB algorithm is superior to the traditional CMA algorithm on convergence rate.
Blind Adaptive Step-size constant modulus algorithm (AS-CMA) for multiuser detection in DS-CDMA systems is presented. It combines the CMA and the concept of variable step-size, uses a second LMS algorithm for the step...
详细信息
Blind Adaptive Step-size constant modulus algorithm (AS-CMA) for multiuser detection in DS-CDMA systems is presented. It combines the CMA and the concept of variable step-size, uses a second LMS algorithm for the step size. It adjusts the step-size according to the minimum output-energy principle within a specified range, thus overcomes the problems of bad effect of fixed step-size LMS algorithm. Compared with Adaptive Step-size LMS (AS-LMS) algoritilrn, through simulations, this algorithm can adapt the changes of the environment, suppress multiple access interference in the dynamic environment and the stability of Signal to Interference Ratio (SIR) is superior to that of AS-LMS.
The constant modulus algorithm (CMA) enjoys widespread popularity as methods for blind beamforming and equalization of communication signals. CMA is straightforward to implement, robust, and computationally of modest ...
详细信息
The constant modulus algorithm (CMA) enjoys widespread popularity as methods for blind beamforming and equalization of communication signals. CMA is straightforward to implement, robust, and computationally of modest complexity. Despite its effectiveness and apparent simplicity, adaptive implementation of the CMA comes along with several complicating factors that have never really been solved. In particular, convergence can be unpredictable and slow depending on the stepsize. In this paper, Convergence behaviors of the constant modulus algorithm based on "1-2" cost function (CMA1-2) and "2-1" cost function (CMA2-1) are investigated. We found that certain signal could be quickly removed from the output data choosing special stepsize if at least two signals were with different power. Simulation examples confirm the results.
An exact block formulation of the constant modulus algorithm (CMA) is presented, in which a reduction of arithmetic complexity is achieved. Two types of fast algorithms are explained, either in time-domain or in frequ...
详细信息
An exact block formulation of the constant modulus algorithm (CMA) is presented, in which a reduction of arithmetic complexity is achieved. Two types of fast algorithms are explained, either in time-domain or in frequency-domain. The first one is of greater interest for small block lengths and the second one, using the FFT as an intermediate step, has greater advantage for large blocks. Due to the equivalence between the original CMA formulation and this one, the convergence properties of the CMA are maintained, which is not the case in the Treichler et al. implementation in frequency domain of this algorithm. Furthermore, this approach allows the use of very small block lengths (e.g. N = 2), the reduction of the arithmetic complexity increasing with the block size.
A new series equalizer based on constant modulus algorithm(CMA) and Decision-directed(DD) algorithm is proposed to overcome Inter-Symbol Inter-ference(ISI) much better in the communication system without the aid of tr...
详细信息
A new series equalizer based on constant modulus algorithm(CMA) and Decision-directed(DD) algorithm is proposed to overcome Inter-Symbol Inter-ference(ISI) much better in the communication system without the aid of training *** proposed equalizer uses the CMA as the forward filter and DD algorithm as the back *** two filters are series and operate *** makes full use of the advantages of the CMA's "eye-opened" ability and DD's superior convergence *** the proposed equalizer obtains not only the faster convergence and lower residual error but also the ability of phase *** simulations with underwater acoustic channels are presented and the simulation results are shown to prove the efficiency of the proposed equalizer.
暂无评论