This paper investigate the problem of estimating sparse channels in massive MIMO systems. Most wireless channel are sparse with large delay spread, while some channels can be observed have common support within a certain area of the antenna array. This common support property is attractive when it comes to the estimation of large number of channels in massive MIMO systems. In this paper, we pro...

The conventional channel estimation methods based on a preamble for filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems in mobile-to-mobile sensor networks are inefficient. By utilizing the intrinsicsparsity of wireless channels, channel estimation is researched as a compressive sensing (CS) problem to improve the estimation performance. In this paper, an Ad...

Manuscript received February 25, 2015; revised July 18, 2015. Corresponding author email: [email protected]. doi:10.12720/jcm.10.7.466-473 to time-variant multipath channels in orthogonal OFDM leads to inter-carrier interference (ICI) which increases the error of system [4]-[5]. Therefore, the channel time variation during a symbol block must be considered to support high-speed mobile channels. M...

A large number of pilots are utilized to acquire channel information in traditional channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) system, which leads to lower spectrum efficiency. For exploiting the sparse channel characteristics of 3GPP multipath channels, we employ the Compressed Sensing (CS) approach for channel estimation. Two CS-based recovery algorithms, Orthogo...

SUMMARY In this paper, we propose an efficient channel estimation scheme in bi-directional wireless orthogonal frequency division multiplex-ing (OFDM) relay systems applying analog network coding (ANC). In the relay systems applying ANC, channel separation is needed to estimate each of the bi-directional channels simultaneously from the combined received signal. In the conventional channel esti...

Orthogonal time frequency space (OTFS) has emerged as the most sought-after modulation technique in a high mobility scenario. Sparse code multiple access (SCMA) is an attractive code-domain non-orthogonal (NOMA) technique. Recently NOMA approach for OTFS, named OTFS-SCMA, proposed. OTFS-SCMA promising framework that meets demands of and massive connectivity. This paper presents channel estimati...

In this paper, a modified adaptive sparse channel estimator based on singular value decomposition (SVD) for OFDM systems is proposed. The conventional adaptive sparsity matching pursuit (ASMP) based compressive channel estimation has bad anti-noise performance, although not needing the information of sparsity. Because using the SVD to modify the measurement matrix of CS can improve the robustne...