Abstract

We present a fast adaptive beamforming null algorithm with smart antenna for Radio Frequency Repeater (RFR). The smart antenna system is realized by a Direction Of Arrival (DOA) Estimator, whose output is used by an adaptive beamforming algorithm to shape a suitable radiation pattern of the equivalent antenna; so that the co-channel interference due to retransmitting antenna can be reduced. The proposed adaptive beamforming algorithm, which has been proved by formulaic analysis and simulation, has a lower computation complexity yet better performance.

Highlights

  • In a wireless communication system, radio frequency repeater (RFR) is widely used to extend the network coverage due to easy setting-up, less expensive and without increasing the number of base station [1]

  • We employ uniformly circular array (UCA) with eight antenna elements having a spacing of Ȝ, where Ȝ denotes the signal wavelength

  • The power of the input PN sequence is -29.12 dB, and the interference signal is 13.78 dB with the thermal noise is about -70 dB, that is, the input signal-to-interference-plus-noise ratio (SINR) is -39.48 dB

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Summary

Introduction

In a wireless communication system, radio frequency repeater (RFR) is widely used to extend the network coverage due to easy setting-up, less expensive and without increasing the number of base station [1]. As it depicted, RFR plays a transit role of signal enhancement; its basic function is a RF signal power amplifier. The second method is ICS (interference cancellation system) techniques It requires lots of hardware complexity and computational delay [5,6,7,8,9]. To solve these problems, spatially adaptive filtering for RFR is studied, that is, with a certain shape of beam through the signal in the direction of the need to suppress the interference signal, which is known as beamforming. Formulaic analysis and simulation demonstrate that the proposed adaptive beamforming algorithm has a lower computation complexity yet better performance

Smart antenna system
Adaptive beamforming
Simulation Results and Analysis
Conclusion
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