A Frequency Estimation Method Based on Improved MWC Discrete Compressed Sampling Structure

Abstract

To reduce the amounts of the processing data, decrease the hardware complexity and solve the cross-channel signal problem caused by uniform channelized wideband digital receivers, a wideband digital receiver based on modulated wideband converter (MWC) discrete compressed sampling structure is proposed to build wideband digital receiver. Aiming at the low-accuracy problem in existing frequency estimation algorithm based on MWC discrete compressed sampling structure, an improved structure is proposed to receive emitter signal which has a better frequency estimation accuracy. In the improved structure, the received signals are mixed to the basebands which have different bandwidth by using pseudo-random sequences (PRS) which has different periods. Then, the mixed signals are low-pass filtered, down-sampled to obtain compressed sampling (CS) signals which have different frequencies. The original frequency of the received signal can be recovered directly from different frequency of CS signals without reconstruction by using the robust closed-form Chinese remainder theorem (CRT). The experimental simulation shows that the improved MWC discrete compression sampling structure can realize frequency estimation and has an excellent frequency estimation accuracy at SNR more than 0dB.