Implementation of a prototype smart antenna for low tier PCS

Biedka, T.E.; Holden, Brian; Thornton, S.; Ferguson, W. F. C.; Hammons, Roger; Johnson, Benjamin C.; Kailas, Shivkumar Jawaligi; Liau, Victor; Nolan, B.; Paulraj, A.; Sandhu, Sumeet

doi:10.1109/vetec.1999.778095

Cited by 5 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Higher recalculation rate is needed in a frequently changing environment such as urban area and low recalculation rate is sufficient in a nearly stationary environment such as fixed WiMAX [7]. An example of work that shows the method of determining the rate is the implementation of smart antenna prototype for Personal Access Communication System (PACS) [8]. It can be seen that the rate is environment specific and need to be determined prior to system implementation.…”

Section: Adaptive Beamforming Weight Recalculation Ratementioning

confidence: 99%

Joint adaptive modulation adaptive beamforming for mobile transmissions

Ibrahim

Alias

Ahmad

2007

2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications

View full text Add to dashboard Cite

Spectrally efficient techniques such as adaptive beamforming (ABF) and adaptive modulation (AM) are two powerful methods to increase the capacity of mobile systems. Adaptive beamforming exploits the spatial knowledge from antenna arrays in suppressing co-channel interference. On the other hand, adaptive modulation maximizes the throughput while maintaining a given target bit error rate (BER) by selecting the modulation mode according to the instantaneous channel quality. In order to maximize the benefits from both techniques, their combination is considered. The simulation of fixed modulation adaptive beamforming (FM-ABF) shows that the degradation in BER is reasonably small even for a large reduction in weight recalculation rate. This motivates the investigation of joint adaptive modulation adaptive beamforming (AM-ABF) system, where adaptive modulator assists adaptive beamformer in determining the need to recalculate the weight. The novelty of this paper lies in the ability of the joint technique to adapt the weight recalculation rate according to the near instantaneous signal-tointerference-plus-noise ratio (SINR), which represents the channel fading rate. Simulation results are shown to compare the performance of the proposed joint AM-ABF with the FM-ABF for the case of one and two interferers. Results for both cases show that the proposed AM-ABF is able to fulfill the target BER ≤ 10 -2 , while improves the performance by reducing the required average received SINR as compared to the FM-ABF technique, with the improvement of up to 10 dB at BER of 1×10 -2 . In terms of average bits-per-symbol (BPS) throughput, the joint AM-ABF outperforms FM-ABF at the average received SINR of more than 24 dB and 26 dB for single interferer and two interferers, respectively.

show abstract

Section: Adaptive Beamforming Weight Recalculation Ratementioning

confidence: 99%

Joint adaptive modulation adaptive beamforming for mobile transmissions

Ibrahim

Alias

Ahmad

2007

2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications

View full text Add to dashboard Cite

show abstract

“…By comparing the I-Q plots of the raw and beamformer output signals, and by examining the signal envelopes of the raw and processed signals, we showed that SA was able to remove the co-channel interference and improve signal quality. The result will be published in [1].…”

Section: Smart Antanna Technologymentioning

confidence: 99%

<title>High-speed digital wireless battlefield network</title>

et al. 1999

View full text Add to dashboard Cite

In the past two years, the Digital Wireless Battlefield Network (DWBN) consortium that consists of HRL Laboratories, Hughes Network Systems, Raytheon, and Stanford University has participated in the DARPA TRP program to leverage the efforts in the development of commercial digital wireless products for use in the 2 1st century battlefield. The consortium has developed an infrastructure and application testbed to support the digitized battlefield. The consortium has implemented and demonstrated this network system. Each member is currently utilizing many of the technology developed in this program in commercial products and offerings. These new communication hardware/software and the demonstrated networking features will benefit military systems and will be applicable to the commercial communication marketplace for high speed voice/data multimedia distribution services.

show abstract

“…level of sophistication. The software is responsible for acquiring, processing, and recording received signals and displaying measurement or algorithm results [15].…”

Section: System Softwarementioning

confidence: 99%

Design of digital prototype of adaptive antenna receiver

Kawitkar¹,

Wakde²

2005 IEEE International Conference on Personal Wireless Communications, 2005. ICPWC 2005.

View full text Add to dashboard Cite

ABSTARCTA smadadaptive antenna is a system in which the performance of the antenna pattern can be improved. This is done by multiple antennas, which are processed simultaneously. Dynamic changing of the antenna pattern enables the system to form a beam at a target, and with that improvement of its signal to noise ratio. The beam can also be formed to remove interference from certain directions.What is possible with these systems and how well do the beamforming smart antennas perform in a real system? When using a real system, the components are not ideal and in the system design trade-offs are made to find a good working system. It is not about finding the 'best' system, but finding the best system under certain circumstances or constraints. A way to reveal these design parameters and gain insight in the actual system can be done by implementing a testbed. The test-bed is a set up where the various algorithms can be tested in a real system.Thii paper aims to design and develop an adaptive antenna receiver to serve as a common reference for testing adaptive antenna arrays and signal combining algorithms, as well as complete systems. The emphasis will be laid on ease of implementation in a multichannel / multi-user environment. FlexibIe suite of off line processing software should be written to perform system calibration, test bed initialization, data acquisition control, data storage/transfer, off line signal processing and analysis and graph plotting.

show abstract

Implementation of a prototype smart antenna for low tier PCS

Cited by 5 publications

References 3 publications

Joint adaptive modulation adaptive beamforming for mobile transmissions

Joint adaptive modulation adaptive beamforming for mobile transmissions

<title>High-speed digital wireless battlefield network</title>

Design of digital prototype of adaptive antenna receiver

Contact Info

Product

Resources

About