Channel estimation technique

A device, comprising:

• a first determination unit configured for determining a sequence of first coefficient estimates of a communication channel based on a sequence of pilots arranged according to a known pilot pattern and based on a receive signal, wherein the receive signal is based on the sequence of pilots transmitted over the communication channel;
• and
• a second determination unit configured for determining a sequence of second coefficient estimates of the communication channel based on a decomposition of the first coefficient estimates in a dictionary matrix and a sparse vector of the second coefficient estimates, wherein the dictionary matrix comprises filter characteristics of at least one known transceiver filter arranged in the communication channel,
• wherein the second coefficient estimates are based on impulse response coefficients of the communication channel excluding the at least one known transceiver filter.

A device, comprising:

• a first determination unit configured for determining a sequence of first coefficient estimates of a communication channel based on a sequence of pilots arranged according to a known pilot pattern and based on a receive signal, wherein the receive signal is based on the sequence of pilots transmitted over the communication channel;
• and
• a second determination unit configured for determining a sequence of second coefficient estimates of the communication channel based on a decomposition of the first coefficient estimates in a dictionary matrix and a sparse vector of the second coefficient estimates, wherein the dictionary matrix comprises filter characteristics of at least one known transceiver filter arranged in the communication channel, wherein the decomposition is based on the following compressive sensing inference model:
• t=Hα+w,
• where t denotes the sequence of first coefficient estimates, H denotes the dictionary matrix, α denotes the sparse vector of the second coefficient estimates and w denotes a vector of noise samples.