Compressive sensing based underwater channel estimation

Underwater communication is a research area of great relevance for naval applications. The proposed work explores the state of the art channel estimation techniques for underwater communications in the context of compressed sensing. A communication model with popular techniques like QPSK, QAM, OFDM etc are simulated for transmission and reception in underwater scenario. This paper considers OFDM channel estimation as a compressive sensing problem since underwater channels are characterized by sparse multipath. It is demonstrated that compressive sensing based methods give more efficient channel estimation for OFDM based underwater communication systems than conventional methods.