Joint Channel Estimation, Data Decoding, and Group-Sparse Impulsive Noise Estimation for Slowly Time-Varying Single copyright Underwater Acoustic Communications

Joint Channel Estimation, Data Decoding, and Group-Sparse Impulsive Noise Estimation for Slowly Time-Varying Single copyright Underwater Acoustic Communications

Blog Article

The Gaussian noise assumption is usually made for slowly time-varying underwater acoustic communication (UWAC) systems, which is entirely adequate for most cases.However, certain human activities such as geophysical surveys, multi-beam echosounders and iceberg PR783 breakup generate impulsive noise.Consequently, the impulsive noise degrades the designed receiver based on the Gaussian noise model significantly.An optimization formulation which takes the slowly time-varying channel impulse response (CIR), the group-sparse impulsive noise and the encoder structure of the data symbol into account is proposed.To tackle the optimization problem, we propose a joint channel estimation, data decoding and impulsive noise estimation (JCDI) algorithm consisting of two modules named module A and module B, where module A performs the joint channel estimation, data estimation and impulsive noise estimation, while module B uses the low density parity check (LDPC) decoder to decode the encoded data symbols.

In particular, the block coordinate descent (BCD) algorithm is proposed, and a smoothed fast iterative threshold soft algorithm (FISTA) is proposed to estimate the group-sparse impulsive Telephone Lead noise.Substantial numerical simulations and real experiments are conducted to show the effectiveness of JCDI under impulsive noise, i.e., JCDI achieves lower coded BER than conventional receivers.