Performance analysis of DS-CDMA system using fast adaptive filtering under different jamming techniques

Samir, M.; Shaheen, Ehab M.; Wahab, Asrul Abdul

doi:10.1109/icengtechnol.2012.6396114

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…This method employs the error vector instead of a scalar error which is used in Least Mean Square algorithm to adjust the variable step size [14]. The Wiener filter coefficient can be written as [15] ̂( ) = ∑ ℎ( ) ( − ) =0 (16) Where ( ) is the unit sample response of the finite impulse response (FIR) Wiener filter that process ( ), ( ). The error signal can be estimated as…”

Section: Accuracy Enhancement Performancesmentioning

confidence: 99%

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

Shaheen

Samir

Amin

2018

The International Conference on Electrical Engineering

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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.

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Section: Accuracy Enhancement Performancesmentioning

confidence: 99%

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

Shaheen

Samir

Amin

2018

The International Conference on Electrical Engineering

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“…Although these blind MUD schemes are effective to suppress MAI in different situations, but the performance of these detectors will be severely degraded if there is hostile jamming in channel. Harmonic jamming, partial-band jamming and linear swept-frequency jamming are effective to jam CDMA communication systems [11,12]. The detectors discussed above do not take the hostile jamming into consideration but treat it as received noise, so their performance will be severely degraded in hostile jamming dominant scenario.…”

Section: Introductionmentioning

confidence: 99%

Dual‐antenna‐based blind joint hostile jamming cancellation and multi‐user detection for uplink of asynchronous direct‐sequence code‐division multiple access systems

Zhang

Cui

2013

IET Communications

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The authors investigate the problem of blind multi-user detection (MUD) for uplink of asynchronous direct-sequence codedivision multiple access (DS-CDMA) systems with hostile jamming. To cope with the lack of prior knowledge of spread signals, hostile jamming and channel state information, the authors propose a scheme based on blind source separation (BSS) to solve this problem. Dual receive antennas are used in the proposed scheme. By exploiting the structure of the two received signals, a BSS model with dependent sources is formed, and then blind hostile jamming cancellation and MUD are obtained by solving this BSS problem. The proposed scheme does not require to know any information about the hostile jamming, and can work well under multiple kinds of hostile jamming. Simulation results further demonstrate that if such proposed approach is used to cancel hostile jamming and make MUD, then the bit-error-rate performance can be substantially improved as compared with earlier detectors.

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“…Clear close structure demonstrative BER expressions are deduced for each one of the three arrangements, which are completely affirmed by entertainments. In 2012, Mohamed Samir et al [21] propose a change to the execution of a direct sequence code division multiple access (DS-CDMA) system by utilizing an adaptable channel as a part of the region of unmistakable staying routines. To fight the impact of such staying, the flexible channel utilizes three adaptable estimations which are the variable step-size affine projection (VSS-APA) count, the generalized normalized gradient descent (GNGD) figuring, and the generalized square-error-regularized (GSER) NLMS computation.…”

Section: Related Workmentioning

confidence: 99%

A survey and analysis of BER over different Gaussian noise

Bhaskar¹,

Khandelwal²

2017

IJATEE

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Performance analysis of DS-CDMA system using fast adaptive filtering under different jamming techniques

Cited by 8 publications

References 16 publications

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

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

Dual‐antenna‐based blind joint hostile jamming cancellation and multi‐user detection for uplink of asynchronous direct‐sequence code‐division multiple access systems

A survey and analysis of BER over different Gaussian noise

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