Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm

Shahab, Suhail Najm; Zainun, Ayib Rosdi; Mohamed, Izzeldin Ibrahim; Alabdraba, Waleed M. Sh.; Noordin, Nurul H.

doi:10.17485/ijst/2016/v9i30/99275

Cited by 1 publication

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first algorithm is the MUSIC algorithm which is based on the decomposition of the eigenvalues of the estimated correlation matrix of the received signal. The second algorithm is the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) which uses the signal subspace to estimate the DOAs [9]. The third category is the Maximum Likelihood (ML) techniques.…”

Section: Introductionmentioning

confidence: 99%

SIMO-OFDM Cellular Network: Multiuser Interference Mitigation and Desired User Identification

Shaheen

Samir

Amin

2018

The International Conference on Electrical Engineering

View full text Add to dashboard Cite

The rapidly increasing demand for mobile broadband traffic drives the need for even more capacity from cellular networks. Multiple Input Multiple Output (MIMO) technology is a key element of modern wireless communication standard including Long Term Evolution (LTE) and WiMAX. MIMO systems are used to improve the robustness of data transmission, to increase data rate, to improve capacity and other aspects of network performance. In the absence of line of sight (LOS) between the mobile receiver station (MS) and the base station (BS), the localization of the BS is very important. The Direction of Arrival (DOA) algorithms can estimate the incident angles of all the received signals impinging on the array. These algorithms give the DOAs of all the relevant signals of the user sources and interference sources. Yet, they are not capable of distinguish and identify which one is the direction of the desired user. In this paper, a reference signal is known by the transmitter and the receiver is proposed to identify which one of the estimated DOAs is the direction of the desired user in the cell. With the aid of such reference signal and applying the correlation concept, the DOA algorithms can distinguish the direction of the desired signal from the others. This concept was applied to the MUltiple SIgnal Classification (MUSIC), ROOT MUSIC, and Minimum Variance Distortion less Response (MVDR) algorithms. Moreover, the Affine Projection Algorithm (APA) is classified as a fast adaptive filter was implemented in this paper to enhance the accuracy of the estimated direction and to form a beam towards the desired user and nulls towards interferes. Extensive simulation results assure that in the presence of the proposed reference signal, the DOAs algorithms can identify the direction of the desired user with high accuracy and resolution.

show abstract

Section: Introductionmentioning

confidence: 99%