Sparse Underwater Acoustic Channel Parameter Estimation Using a Wideband Receiver Array

Joint channel and Doppler shift estimation in TDS-OFDM using frequency sensitive set

“…, y(M )] is the received vector corresponding to the second PN. Under the assumption that the Doppler shift remains invariant within one block duration, rewrite the input-output relationship and a linear expression with a Doppler populated training matrix is constructed constructed as follows [8]: …”

“…A two-stage parameter space-alternating orthogonal matching pursuit (SA-OMP) has been introduced in [8]. In the first stage, a fixed and small-scale global dictionary is used to get a coarse estimate of the channel path delay.…”

“…In the second stage, an iterative identification process works: a local dictionary matrix with columns densely populated by oversampled delays around the coarse tap delay estimate from (8), which provides with more precise estimate on tap delay; then a second local dictionary is constructed by populating the columns by oversampled Doppler shifts, and the Doppler shift is estimated thereby. SA-OMP carriers out as follows:…”

UComms: A Conference and Workshop on Underwater Communications, Channel Modeling, and Validation

“…Ultimately, the accurate estimation of the scattering function is an interesting problem in itself. This topic was discussed in the workshop and is also addressed in [9], where a modified version of orthogonal matching pursuit is explored as a means to track the (typically) sparse pattern of echoes.…”

Comparison of sparse recovery algorithms for channel estimation in underwater acoustic OFDM with data-driven sparsity learning

“…The recent research progress on UWA channel estimation [2][3][4][5][6][7] has demonstrated that sparse channel estimation, which exploits the inherent sparsity in UWA channels, leads to better receiver * Correspondence to: Department of Electrical and Computer Engineer- decoding performance than the conventional least-squares (LS) based channel estimation. For block transmissions in UWA environments, different channel models have been explored for channel estimation, see e.g., [2,3,6,8,9]. Consider a block transmission with the channel outputs collected in a vector z and the channel unknown parameters collected in a vector x.…”