Steady-state analysis of the multistage constant modulus array

Shynk, J.J.; Keerthi, A.V.; Mathur, Abhishek

doi:10.1109/78.492547

Cited by 54 publications

(14 citation statements)

References 18 publications

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“…16, the transmitted signals are represented in the complex baseband signal, and then the desired signal and the cochannel interference signal are S a t and S b t, respectively, and it is assumed that the amplitude of the incoming is constant within a sufficiently short time slot and only the phase changes according to the maximum Doppler frequency, f d [12]. Since the transmitted signal is reflected, diffracted, and scattered because of buildings and so forth, it arrives at the array antenna as multiple signals from multiple directions.…”

Section: Cochannel Interference Cancelermentioning

confidence: 97%

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Cochannel interference canceler using a CMA adaptive array antenna

Furukawa

Kamio

Sasaoka

2000

Electron. Comm. Jpn. Pt. I

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Section: Cochannel Interference Cancelermentioning

confidence: 97%

“…There is a report on the multistage CM (MCM) array where multiple cochannel signals are extracted using a CMA adaptive array [16]. This array is composed of the conventional CMA adaptive array antenna and adaptive signal canceler.…”

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confidence: 99%

Cochannel interference canceler using a CMA adaptive array antenna

Furukawa

Kamio

Sasaoka

2000

Electron. Comm. Jpn. Pt. I

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“…For high-order QAM signalling over frequency-selective channels, however, the complexity of the blind DW-ILSP algorithm may become prohibitive. In the context of blind beamforming, the CMA-type blind adaptive algorithm has been used before in [24][25][26][27]. However, the combined CMA and SDD (or DD) scheme has not been employed for blind adaptive SIMO systems, especially not in conjunction with high-order QAM schemes.…”

Section: A U T H O R ' S P E R S O N a L C O P Ymentioning

confidence: 99%

“…It is readily seen that the CMA þ SDD scheme had a significantly faster convergence than the CMA þ DD arrangement. Because this was a time varying system, the performance criteria of (25) and (26) could not be evaluated. To provide an overall convergence picture, we adopted a simple moving average-based estimate for the MSE, defined bỹ 2 ðkÞ ¼ Z Â 2 ðk À 1Þ þ ð1 À ZÞ Â 1 2 jQ½yðkÞ À yðkÞj 2 .…”

Section: A U T H O R ' S P E R S O N a Lmentioning

confidence: 99%

Constant modulus algorithm aided soft decision directed scheme for blind space–time equalisation of SIMO channels

2007

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This paper investigates a blind space-time equaliser (STE) designed for single-input multiple-output (SIMO) systems that employ high-throughput quadrature amplitude modulation schemes. A constant modulus algorithm (CMA) aided soft decision-directed (SDD) scheme, originally derived for low-complexity blind equalisation of single-input single-output channels, is extended to the SIMO scenario. Simulations are conducted to compare the performance of this blind adaptive scheme with another low-complexity blind STE referred to as the CMA aided decision directed (DD) scheme. The results obtained demonstrate that for SIMO systems the CMA aided SDD scheme exhibits advantages over the CMA aided DD arrangement, in terms of its faster convergence speed and lower computational complexity. r

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“…Instead of using training signals, the CMA uses the constant amplitude property of the desired signals. Analyses reported in [18] and [19] have shown that, in certain cases where, for instance, the source signals are of high signal-to-noise ratio (SNR) and are not closely spaced, the steady-state and convergence performances of the CMA-based blind beamforming algorithm are very close to those obtained from the corresponding nonblind ones. However, the CMA-based blind beamformers usually incur considerable performance degradation when these conditions are not satisfied.…”

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confidence: 99%

Super-Exponential Blind Adaptive Beamforming

Yang

Ohira²,

Zhang

et al. 2004

IEEE Trans. Signal Process.

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Abstract-The objective of the beamforming with the exploitation of a sensor array is to enhance the signals of the sources from desired directions, suppress the noises and the interfering signals from other directions, and/or simultaneously provide the localization of the associated sources. In this paper, we present a higher order cumulant-based beamforming algorithm, namely, the super-exponential blind adaptive beamforming algorithm, which is extended from the super-exponential algorithm (SEA) and the inverse filter criteria (IFC). While both SEA and IFC assume noise-free conditions, this requirement is no longer needed, and all the noise components are taken into account in the proposed algorithm. Two special conditions are derived under which the proposed blind beamforming algorithm achieves the performance of the corresponding optimal nonblind beamformer in the sense of minimum mean square error (MMSE). Simulation results show that the proposed algorithm is effective and robust to diverse initial weight vectors; its performance with the use of the fourth-order cumulants is close to that of the nonblind optimal MMSE beamformer.Index Terms-Adaptive array processing, blind beamforming, high-order cumulants, inverse filter criteria (IFC), super-exponential algorithm (SEA).

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Steady-state analysis of the multistage constant modulus array

Cited by 54 publications

References 18 publications

Cochannel interference canceler using a CMA adaptive array antenna

Cochannel interference canceler using a CMA adaptive array antenna

Constant modulus algorithm aided soft decision directed scheme for blind space–time equalisation of SIMO channels

Super-Exponential Blind Adaptive Beamforming

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