Wireless Communication

K. Senthamil Selvan ¹, S. Ravi ², B. LakshmiDhevi ³

Affiliations
1 St.Peter's University, Chennai-54, IN
2 Electronics and Communication Department, Dr. MGR Educational and Research Institute, University, Chennai, IN
3 MicroLogic Systems, Chennai, IN

Abstract

Software Defined Radios (SDR) is integrated with dynamically configurable software to enable Cognitive Radio (CR) design. Higher Channel densities management and continuous service provision are the performance measures for SDR. Incorporating adaptive modulation capability in sophisticated wireless communication techniques necessitates an Automatic Modulation Recognition for SDR. The abundant demodulation requisite for SDR is not catered sufficiently by available Automatic Modulation Recognition techniques. This paper deals with a novel method of automatic modulation identification for Software defined radio. The proposed technique uses a simple method of appending a unique pilot sequence to each modulated data for identification purpose. This work analyzes the performance of the identifier for typical modulations under noisy conditions and at different Signal to Noise Ratios (SNRs). A pre-processing module is also adapted in the modulation identification technique and performs rejection of noise, normalization, carrier frequency estimation and recovery of complex envelope.

Keywords

Software Defined Radio (SDR), Cognitive Radio (CR), Signal to Noise Ratio (SNR).

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R. Kannan ¹, S. Ravi ²

Affiliations
1 Dr. MGR University, Chennai, IN
2 Department of ECE, Dr. M.G.R. University, Chennai-600 095, IN

Abstract

Automatic modulation recognition for software defined radio (SDR) is a research focused on developing 3G and 4G wireless communications with adaptive modulation capability. The existing automatic modulation recognition technology does not satisfy the seamless demodulation requirement of the SDR. The design of automatic modulation recognition method with reduced computational complexity and fast processing speed is needed. The radio systems are increasingly incorporating dynamically configurable software into software defined radio (SDR) design. The ability to change software after manufacture makes SDR a perfect platform for designing Cognitive Radio (CR). The equipment must handle higher channel densities and must meet a high-availability standard to provide uninterrupted service. In addition, the equipment will be flexible to accommodate various air protocols. The statistical performance of the fast automatic modulation recognition associated with its implementation using the SDR is discussed in this work.

Keywords

ASIC, FPAA, SDR.

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