Combined Beamforming With Alamouti Coding Using Double Antenna Array Group for Multiuser Interference Cancellation

Wang, Yong; Liao, Guisheng; Ye, Zi; Wang, Xiyuan

doi:10.2528/pier08102702

Cited by 10 publications

(5 citation statements)

References 20 publications

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“…Various hybrid MIMO techniques scheme have been proposed in the past to improve the performance of wireless communication systems. Most of them focus on combining beamforming with diversity techniques [7][8][9][10]. However, this combined technique can only enable a system to achieve both diversity and beamforming gains.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Mimo Technique for Better Ber in High Data Rate Wireless Communication System

Odeyemi¹,

Ogunti²

2014

IJWMT

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The need for high data rate and better quality of service in wireless communications has become imperative in the past few years judging by user demand. Obtaining these requirements has become very challenging for wireless communication systems due to the problems of channel multi-path fading, higher power and bandwidth limitations. One of the most promising solutions to this problem is the Multiple Input Multiple Output (MIMO) system. This paper proposed a combined spatial multiplexing MIMO scheme with beamforming for high data rate wireless communication. The proposed transmission scheme combines the benefits of both techniques resulting in the system ability to transmit parallel data streams as well as provide beamforming gain. Actually, these diverse techniques, share the same requirement of multiple antenna elements, but differ in the antenna element spacing necessary for the different schemes to work. Thus, smart antenna arrays were proposed as a possible solution and were adopted at both the transmitter and the receiver. The proposed hybrid technique provides better Bit Error Rate (BER) performance than the conventional MIMO, spatial multiplexing or beamforming technique alone under the same simulation environment.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Mimo Technique for Better Ber in High Data Rate Wireless Communication System

Odeyemi¹,

Ogunti²

2014

IJWMT

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“…Substantial research has shown the robustness of the blind adaptive array receiver algorithm, which is the combination of smart antenna and CDMA in wireless communications [7][8][9][10][11]. In [12], B. G. Agree developed Least-Squares Constant Modulus algorithm (LS-CMA) for multiuser systems in order to combat interuser interference (IUI) and separate cochannel signals.…”

Section: Introductionmentioning

confidence: 99%

New Blind Adaptive Array Receiver in WCDMA Uplink Based on Convex Combination

Gong

2009

Journal of Electromagnetic Waves and Applications

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A novel adaptive array receiver algorithm in the WCDMA uplink, which the LSCMA can be smoothly switched to the LS-DRMTA is presented. Firstly, we propose a convex combination approach by running the LSCMA and LS-DRMTA algorithms simultaneously to obtain a smooth switch between them, which is guaranteed by the basic theory of convex combination method. Then an "anchoring process" is described to implement fast user tracking by exploiting the in-buid pilot signal. The overall receiver can be regarded as the LS-DRMTA algorithm being anchored by the combination adaptive algorithm. Analysis demonstrates that our proposed algorithm has the good convergence properties and low computational complexity, which is also verified by the numerical simulations.

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“…An adaptive beamformer is collection of sensor elements whose outputs are combined by iteratively adjusted weight vector so as to pass a desired signal with minimum distortion while rejecting interfering signal. Since this form of array processing provides system antijam performance, it has become an essential requirement for the military and high resolution radars, communications and navigation systems [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An Effective Jammers Cancellation by Means of a Rectangular Array Antenna and a Sequential Block LMS Algorithm: Case of Mobile Sources

Atrouz¹,

Alimohad²,

Aissa³

2009

PIER C

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Adaptive array processing algorithms have received much attention in the past four decades. Modern radars have to consider various sources of noises and interferences for accurate and real time detection. In addition to interferences arising between the target and receiver, such as clutter and jammers, the use of the conventional techniques applied to the jammers cancelation in radars systems, especially when sources to cancel are moving (i.e., a dynamic environment as it is usually the case for air-and space-based radar), requires an adaptive arrays of several hundreds and/or thousands of elements. These methods are inefficient because of the large amount of data that describes the problem, which can limit considerably the achievement of the optimal performances due to the great computational complexity, costs and the very long time of both convergence and tracking. In this paper, we propose the study of a newly optimized algorithm, based on the known Least Mean Square (LMS) method due to its simplicity and effectiveness especially when work is driven toward the moving target tracking. Our proposed

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Combined Beamforming With Alamouti Coding Using Double Antenna Array Group for Multiuser Interference Cancellation

Cited by 10 publications

References 20 publications

A Hybrid Mimo Technique for Better Ber in High Data Rate Wireless Communication System

A Hybrid Mimo Technique for Better Ber in High Data Rate Wireless Communication System

New Blind Adaptive Array Receiver in WCDMA Uplink Based on Convex Combination

An Effective Jammers Cancellation by Means of a Rectangular Array Antenna and a Sequential Block LMS Algorithm: Case of Mobile Sources

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