English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Delay alignment modulation (DAM) is a promising technology for inter-symbolinterference (ISI)-free communication without relying on sophisticated channelequalization or multi-carrier transmissions. The key ideas of DAM are delayprecompensation and path-based beamforming, so that the multi-path signalcomponents will arrive at the receiver simultaneously and constructively,rather than causing the detrimental ISI. However, the practical implementationof DAM requires channel state information (CSI) at the transmitter side.Therefore, in this letter, we study an efficient channel estimation method forDAM based on block orthogonal matching pursuit (BOMP) algorithm, by exploitingthe block sparsity of the channel vector. Based on the imperfectly estimatedCSI, the delay pre-compensations and tap-based beamforming are designed forDAM, and the resulting performance is studied. Simulation results demonstratethat with the BOMP-based channel estimation method, the CSI can be effectivelyacquired with low training overhead, and the performance of DAM based onestimated CSI is comparable to the ideal case with perfect CSI.

Channel Estimation for Delay Alignment Modulation