Automatic Modulation Recognition in Wireless Communication Systems Using Feature-Based Approach
We propose a novel scheme for automatic recognition of four digital modulation types in the domain of wireless communication systems. The presented scheme exploits the distinct features reflected by two dimensional asynchronous sampled In-phase-Quadrature data’ histograms (ASIQ) for the recognition of various digital modulation types. The effect of the medium between the transmitter and receiver is only limited to additive white Gaussian noise (AWGN). The proposed work utilizes support vector machine (SVM) tool for the recognition of various and popular digital modulation types. Simulation results from the proposed technique showed accurate discrimination among four digital signals with various bit rates of 100% total classification accuracy. The simulation was carried out over a broad range of signal-to-noise-ratio (SNR) of 0–35 dB with a step of 0.5. The proposed method exploits the existed structure of coherent receivers to construct two-dimensional histograms without the need for any added hardware devices. Therefore, it provides a promising solution and cost-effective identification technique for modulation types in next wireless communication systems.
KeywordsModulation recognition Asynchronous sampled images Wireless communication systems
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