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Subband CMA adaptive arrays in multipath fading environment
- Electronics and Communications in Japan (Part I: Communications
, 2000
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Adaptive Array Processing for Multipath Fading Mitigation via Exploitation of Filter Banks
- IEEE Trans. Antennas Propagat
, 2001
"... In this paper, we propose subband adaptive array processing for mitigation of both inter-symbol interference (ISI) and cochannel interference (CCI) in digital mobile communications. Subband adaptive array processing employs filter banks in a front-end to an adaptive array receiver. By decomposing th ..."
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Cited by 4 (3 self)
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In this paper, we propose subband adaptive array processing for mitigation of both inter-symbol interference (ISI) and cochannel interference (CCI) in digital mobile communications. Subband adaptive array processing employs filter banks in a front-end to an adaptive array receiver. By decomposing the signals into a set of subband sets, the analysis filters enhance the correlation of multipath rays in each subband. This enhancement is blind in the sense that no a priori knowledge of the temporal characteristics or spatial signatures of arriving signals is required. With the increased coherence, the desired signal can be effectively equalized by subsequent spatial processing. Further, the CCI signals and their multipaths can be suppressed with fewer degrees-of-freedom. The effects of QMF and DFT filter banks on multipath correlation are delineated. *Corresponding Author:
Subband Realization of Space-Time Adaptive Processing for Mobile Communications
- Proc. Int. Symp. on Personal, Indoor and Mobile Radio Communications
, 1999
"... In this paper, we study the space-time adaptive processing (STAP) and its subband realization for mobile communications. The conditions of perfect STAP processing (i.e., perfect equalization of desired user signal and perfect suppression of undesired user signals), are investigated in noise-free cas ..."
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Cited by 1 (1 self)
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In this paper, we study the space-time adaptive processing (STAP) and its subband realization for mobile communications. The conditions of perfect STAP processing (i.e., perfect equalization of desired user signal and perfect suppression of undesired user signals), are investigated in noise-free case, which provide a basic rule for practical design of STAP systems. Based on the polyphase representation, we then show that STAP can be equivalently realized with the use of filter bank, yielding the subband space-time adaptive processing (SSTAP). Under the scheme of SSTAP, the convergence rate is improved when LMSlike algorithms are used. The simulation results support the analysis and the efficacy of the proposed SSTAP scheme.
CMA Adaptive Array Performance in the Presence of Correlated Signals
, 1998
"... This paper analyses the performance of a CMA (Constant Modulus Algorithm) adaptive array in the presence of correlated signals. The motivation of this work is to apply the CMA to high-speed digital mobile communications, where multipath signals originated from the same source is usually neither cohe ..."
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Cited by 1 (1 self)
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This paper analyses the performance of a CMA (Constant Modulus Algorithm) adaptive array in the presence of correlated signals. The motivation of this work is to apply the CMA to high-speed digital mobile communications, where multipath signals originated from the same source is usually neither coherent nor uncorrelated. The task of this paper is to make clear the output power of the desired and undersired signal components, as well as the array gain toward the different signals.
Subband Space-Time Adaptive Processing for Mobile Communications
- in Proc. 3rd Int. Symp. on Multi-Dimensional Mobile Commun., Menlo Park, CA
, 1998
"... This paper proposes the scheme of subband spacetime adaptive processing (SSTAP) for mobile communications. Unlike the available array processing methods, this scheme combines the advantages of the space-time adaptive processing (STAP) and the subband signal processing. It is known that the main diff ..."
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Cited by 1 (1 self)
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This paper proposes the scheme of subband spacetime adaptive processing (SSTAP) for mobile communications. Unlike the available array processing methods, this scheme combines the advantages of the space-time adaptive processing (STAP) and the subband signal processing. It is known that the main difficulties for the real-time implementation of STAP are due to its huge computation burden and the performance degradation due to low convergence rate in multipath environments. SSTAP offers an efficient way to solve the problems. SSTAP greatly reduces the computation burden in each subband, and, in turn, provides faster convergence speed by performing parallel signal processing. Therefore, the proposed SSTAP is very important in the real-time implementation of STAP. The simulation results show that SSTAP outperforms conventional STAP both in mitigating multipath fading and in suppressing cochannel interference (CCI) and multiuser access interference (MUAI) for mobile communications systems.
Convergence Performance of Subband Arrays for Spatio-Temporal Equalization
"... Subband arrays have been proposed as useful means to realize joint spatio-temporal domain equalization in digital mobile communications. They are used to mitigate channel impairment problems caused by the inter-symbol interference (ISI) and co-channel interference (CCI). In this paper, we propose th ..."
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Cited by 1 (0 self)
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Subband arrays have been proposed as useful means to realize joint spatio-temporal domain equalization in digital mobile communications. They are used to mitigate channel impairment problems caused by the inter-symbol interference (ISI) and co-channel interference (CCI). In this paper, we propose the normalized subband array and locally orthogonalizing subband array techniques for channel equalization. The least square mean (LMS) algorithm is used for adaptation. The convergenceperformanceoftheproposedtechniques is analyzed and compared with that of conventional space-time adaptive processing (STAP) techniques. It is shown that subband decompositions provide great flexibility in implementing spatio-temporal equalizations. Both analytical and numerical simulation results demonstrate that the proposed subband array techniques substantially improve the convergence performance without significant additional computations. 1.
