BER performance of CMA adaptive array for high-speed GMSK mobile communication-a description of measurements in central Tokyo

Ohgane, Takeo; Matsuzawa, N.; Mizuno, Masashi; Sasaoka, Hideichi

doi:10.1109/25.260763

Cited by 28 publications

(16 citation statements)

References 18 publications

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“…The simulation study presented in [104] considers indoor radio channels, uses a PN sequence as a reference signal and the SMI algorithm to estimate the array weights, and concludes that using an adaptive array, a substantial reduction in delay spread is possible. Similar conclusions are reached in [100] using an experimental array of four elements mounted on a vehicle. It shows that using a CMA, the array is able to null the delayed arrival in a time-division-multiplexed channel.…”

Section: A Reduction In Delay Spread and Multipath Fadingsupporting

confidence: 77%

“…This relationship has been recognized by many authors [18], [29], [61], [100], [133], [153], [158]- [160].…”

Section: E Ber Improvementmentioning

confidence: 81%

“…An example considering the worst-case scenario indicates that one has about 35 iterations to adjust the weights of the array for the vehicular mobile system and suggests the use of the SMI algorithm for this case. A successful implementation of an antenna array on the roof of a mobile vehicle using a CMA to update the weights for a TDMA system is described in [100]. Developments of a dual antenna system for hand-held portables are reported in [30], [101], and [102].…”

Section: ) Use Of Array At a Mobilementioning

confidence: 99%

“…3) Nulling Delayed Arrivals: A reduction in delay spread using an array by nulling the delayed signals arriving from different directions has been reported in [100] and [104]. The simulation study presented in [104] considers indoor radio channels, uses a PN sequence as a reference signal and the SMI algorithm to estimate the array weights, and concludes that using an adaptive array, a substantial reduction in delay spread is possible.…”

Section: A Reduction In Delay Spread and Multipath Fadingmentioning

confidence: 99%

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Applications Of Antenna Arrays To Mobile Communications, Part I: Performance Improvement, Feasibility, And System Considerations

1997

Proc. IEEE

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Section: A Reduction In Delay Spread and Multipath Fadingsupporting

confidence: 77%

“…This relationship has been recognized by many authors [18], [29], [61], [100], [133], [153], [158]- [160].…”

Section: E Ber Improvementmentioning

confidence: 81%

Section: ) Use Of Array At a Mobilementioning

confidence: 99%

Section: A Reduction In Delay Spread and Multipath Fadingmentioning

confidence: 99%

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Applications Of Antenna Arrays To Mobile Communications, Part I: Performance Improvement, Feasibility, And System Considerations

1997

Proc. IEEE

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“…When smart antenna is deployed in mobile communication using time division multiple access (TDMA) system [6], assigning different time slot to different users, it radiates beam towards desired users only. Each beam becomes a channel, thus avoiding interference in a cell.…”

Section: Introductionmentioning

confidence: 99%

CMA an Optimum Beamformer for a Smart Antenna System

Yasin¹,

Akhtar²,

Khan³

2010

IJCA

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In this paper constant modulus algorithm (CMA) and least mean square (LMS), kind of blind and nonblind algorithms used for adaptive beamforming are presented. These algorithms are embedded in smart antenna which calculates optimum weight vector that minimizes the total received power except the power coming from desired direction. The efficiency of CMA and LMS algorithms is compared on the basis of gain versus angle and mean square error (MSE) for mobile communication. Simulation results reveal that both algorithms have high resolution for beam formation. However CMA has good performance to minimize MSE as compared to LMS. Therefore, CMA is found more efficient algorithm to implement in the mobile communication environment to enhance service quality and capacity. General TermsAdaptive filtering, Adaptive signal processing algorithm KeywordsConstant Modulus Algorithm (CMA) and Least Mean Square (LMS) Algorithm.

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A land-mobile satellite tracking experiment with a DBF self-beam steering array antenna

Tanaka¹,

Horie²,

Sekiguchi³

et al. 1998

Electron. Comm. Jpn. Pt. I

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This paper discusses a land‐mobile satellite experiment and its results, on a self‐beam steering array antenna implemented by using a digital beam forming (DBF) technique with a compact digital signal processing circuit using ASICs. This antenna allows automatic and open‐loop beam steering toward an unknown signal arrival direction by simple spatial signal processing. Beam‐space maximal‐ratio combining was employed as the steering algorithm. The antenna was mounted on a test van and the basic performance was demonstrated by receiving a signal in the 1.5‐GHz band in a land‐mobile satellite channel with the Japanese ETS‐V satellite. The experiment showed stable beam steering and automatic tracking under real mobile conditions. Reacquisition of the signal arrival after shadowing was also fast enough. Moreover, steering for the direct signal arrival was not affected even with the arrival of a strong, reflected multipath signal. The possibility for optimal combination of multipath signals was demonstrated by multidirectional steering patterns. © 1998 Scripta Technica. Electron Comm Jpn Pt 1, 81(7): 1–13, 1998

show abstract

BER performance of CMA adaptive array for high-speed GMSK mobile communication-a description of measurements in central Tokyo

Cited by 28 publications

References 18 publications

Applications Of Antenna Arrays To Mobile Communications, Part I: Performance Improvement, Feasibility, And System Considerations

Applications Of Antenna Arrays To Mobile Communications, Part I: Performance Improvement, Feasibility, And System Considerations

CMA an Optimum Beamformer for a Smart Antenna System

A land-mobile satellite tracking experiment with a DBF self-beam steering array antenna

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