An Orthogonal Matching Tracking Channel Estimation Method Based on Frequency Response Pre-Interpolation

Abstract

The invention provides an orthogonal matching tracking channel estimation method based on frequency response pre-interpolation. Step 1: Process the received signal to obtain the channel frequency domain response at the subcarrier where the pilot is located; Step 2: Select local pre-interpolation or overall pre-interpolation according to the performance of the interpolation algorithm, and perform the channel frequency domain response obtained in Step 1. Pre-interpolate to β times of the original length, and use the OMP channel estimation algorithm based on IFFT to complete the path delay estimation; Step 3: output the path delay estimation result. In the present invention, the frequency response used in the OMP channel estimation algorithm at the receiving end is pre-interpolated to β times of the original length by means of an interpolation algorithm, etc., therefore, the maximum measurable delay value is also increased to the original β times. Pre-interpolating the frequency response at the receiving end can replace inserting too many pilots in the transmitted OFDM signal, so the information transmission rate and delay estimation range of the communication system can be guaranteed at the same time.

Description

technical field [0001] The present invention relates to a method for increasing the estimable time delay range of Orthogonal Matching Pursuit (OMP), in particular to an Orthogonal Matching Pursuit (OMP) channel estimation method based on frequency response pre-interpolation. Background technique [0002] In recent years, Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in high-speed communication systems because of its high bandwidth utilization and low channel equalization complexity. In the actual OFDM communication system, the performance of the OFDM communication system is closely related to the channel estimation, so the accuracy of the channel delay estimation is very important, most systems use coherent receivers, which makes the accuracy of the delay estimation in the channel estimation change must be very important. [0003] Studies have shown that underwater acoustic channels, etc. usually have sparseness, that is, most of the chan...

AI Technical Summary

Problems solved by technology

Based on the traditional OMP algorithm, this method proposes a continuous-time expression of the channel delay, which reduces the computational complexity to a certain extent, but does not pre-interpolate the frequency response input in the OMP algorithm. This method can estimate the maximum Latency still depends on the number of pilots in the transmitted signal

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