Subband CMA adaptive arrays in multipath fading environment

Zhang, Yimin; Yang, Kehu; Karasawa, Yoshio

doi:10.1002/(sici)1520-6424(200011)83:11<43::aid-ecja5>3.0.co;2-y

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…JNR of direct rays is 40dB, and that of the two [5], the output power convergence features of the two methods are illustrated in Fig.4 with averages of 16. We find that the proposed method has a relative rapid convergence rate, and as discussed in section 3, this method has no dependent on initial weights and step size.…”

Section: Simulation Resultsmentioning

confidence: 99%

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On Subband LS-CMA Adaptive Arrays in Multipath Jamming Environment

Liu

Wang

2006

2006 International Conference on Wireless Communications, Networking and Mobile Computing

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The anti-jamming performance of adaptive array used in satellite mobile terminal is limited in the wideband jamming plus multipath environment. A new subband adaptive array method based on LS-CMA is proposed, which can eliminate wideband jamming and theirs multipath when degree of freedom is limited. The formula of this method is deduced theoretically. The relationship of subband adaptive processing and signal correlation is also discussed. Simulation results show the validity of the proposed method.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Thus, we focus on the correlation between jammers and their multipath. [5] Assume jammer is white Gauss noise, which has flat spectrum over the operation frequency band. The correlation coefficient, at the kth subband between a jammer and its delayed version is given by…”

Section: Correlation Between Multipath Rays Under Subband Decompositionmentioning

confidence: 99%

On Subband LS-CMA Adaptive Arrays in Multipath Jamming Environment

Liu

Wang

2006

2006 International Conference on Wireless Communications, Networking and Mobile Computing

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“…Moreover one improved version NLMS (Normalized LMS) was introduced by Horner [15] but it always suffers from the problem of convergence speed [7] . To circumvent the problem of convergence of algorithm LMS Yang et al [8] have proposed the use of the sub-band STAP [16,17] . They have find that with their algorithm convergence is faster than conventional STAP.…”

Section: The Mmse Criterionmentioning

confidence: 99%

Fast Iterative Frequential Equalization, Application to Mobile Communications

Taba¹,

Femmam²,

Bedda³

2006

American Journal of Applied Sciences

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Abstract:The Space Time Adaptive Processing (STAP) is a promising approach in the improvement of the wireless communication systems. Since it makes possible to reduce interferences ISI (Inter Symbol Interference) and CCI (Co-Channel Interference) but its disadvantage is the intensive treatment which reduces the speed of convergence of the algorithm LMS (Least Mean Square) and SMI (Sampling Matrix Inversion). Our approach resides in the use of a fast algorithm which calculate the weighting coefficients of the equalizer in frequential field with faster convergence.

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“…So far, several subband arrays have been proposed for spatio-temporal equalizations [3,4,5,6,7,8,9,10,12]. For DFT-based subband arrays, the performance without decimation has been discussed in [7], whereas the performance with decimation is analyzed for CCI-free situations in [8].…”

Section: Subband Decomposition and Subband Arraysmentioning

confidence: 99%

“…This, in turn, brings a high complexity and slow convergence rate, rendering the STAP system unattractive. This shortcoming has motivated extensive research work for devising alternative implementation [3,4,5,6,7,8,9]. Among those methods, subband or frequency-domain arrays offer the amenability of parallel implementation with reduced processing rates in each subband [10,11].…”

Section: Introductionmentioning

confidence: 99%

Subband Array Implementations for Space-Time Adaptive Processing

Zhang

Yang

Amin

2005

EURASIP J. Adv. Signal Process.

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Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment in mobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in performing spatio-temporal equalization, leading to increased communication capacity as well as improved quality of service. The high complexity and slow convergence, however, often impede practical STAP implementations. Several subband array structures have been proposed as alternatives to STAP. These structures provide optimal or suboptimal steady-state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady-state performance of subband arrays with centralized and localized feedback schemes, using different decimation rates. Analytical expressions of the minimum mean-square error (MMSE) performance are derived. The analysis assumes discrete Fourier transform (DFT)-based subband arrays and considers both unconstrained and constrained weight adaptations.

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Subband CMA adaptive arrays in multipath fading environment

Cited by 8 publications

References 14 publications

On Subband LS-CMA Adaptive Arrays in Multipath Jamming Environment

On Subband LS-CMA Adaptive Arrays in Multipath Jamming Environment

Fast Iterative Frequential Equalization, Application to Mobile Communications

Subband Array Implementations for Space-Time Adaptive Processing

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