Blind frequency detector processing method based on cross product algorithm

Abstract

The invention relates to a blind frequency detector processing method based on a cross product algorithm. The method includes calculating point product component and cross product component according to the data located at the intervals of m and utilizing the cross product algorithm to calculate the output quantity of a frequency detector, wherein m is an integer larger than 1, and the specific m value can be arranged according to the system performance requirement to obtain the corresponding frequency discrimination gain. The frequency capture range of the method is not affected by the modulation phase of received signals, the residual frequency error shaking performance can be well acquired, and the effects of simple structure and low resource consumption can be acquired.

Description

technical field

[0001] The invention relates to the technical field of digital wireless communication transmission, in particular to a blind frequency discriminator processing method based on a cross-product algorithm. Background technique

[0002] In satellite communication systems, especially in satellite navigation communication systems such as GPS and Beidou, spread-spectrum BPSK modulation signals are widely used. In the receiver, the carrier acquisition and tracking of the despread symbol data is the key factor affecting the performance of demodulation reception. Considering the reduction of complexity and implementation cost, the receiver usually jointly adopts a frequency-locked loop (FLL) and a phase-locked loop (PLL) to realize carrier tracking. PLL has high tracking accuracy in low dynamic conditions, but it has insufficient adaptability in high dynamic environments. Therefore, a frequency-locked loop is used in high dynamic receivers to track the frequency of th...

Images