Method for channel estimation of multi-template ultra-wide bandwidth based on frame-level sampled data

The invention provides a method for the channel estimation of multi-template ultra-wide bandwidth based on frame-level sampled data. The method comprises the following steps of: sending the identical training sequence waveform at a sending terminal; and carrying out the frame-level integral sampling process on received signals respectively by using a plurality of parallel templates according to specific design, wherein each frame-level sampling value can be decomposed into the sum of a frequency domain channel parameter and a noise component. The algorithm for channel estimation comprises the following steps of: firstly, acquiring the ML (maximum likelihood) estimation value of the frequency domain channel parameter on the basis of ML estimation criteria; and further estimating the time domain channel parameter on an IDFT (inverse discrete Fourier transform) basis. Accordingly, the invention dispenses with an A/D (analog/digital) converter with the sampling rate thereof being higher than one Gbit/s and greatly reduces the complexity of a receiver; and according to the simulation result, the algorithm depending on the frame-level sampled data is comparable in performance to that based on chip-level sampled data in document [1].