A/D quantization bit conversion system and method in gnss receiver

Abstract

The invention provides an A / D quantization bit conversion system and method in a GNSS receiver. The system comprises a comparison module and a threshold adjustment module, wherein the comparison module and the threshold adjustment module work simultaneously, high-order quantized signals are input to the first input end of the comparison module, the comparison module converts the input high-order quantized signals into low-order quantized signals according to threshold values, and then the low-order quantized signals are output from the first low-order output end of the comparison module. The second low-order output end of the comparison module is connected with the input end of the threshold adjustment module, the second input end is connected with the output end of the threshold adjustment module, the threshold adjustment module is used for adjusting threshold values so that the low-order quantized signals output by the comparison module can conform to the corresponding best probability distribution. According to the A / D quantization bit conversion system and method, on the premise that complexity and cost of an existing GNSS receiver are not increased, an anti-interference technique can be applied to the existing low-order quantization GNSS receiver.

Description

technical field [0001] The invention relates to the technical fields of electronic communication and digital signal processing, in particular to an A / D quantization bit conversion system and method in a GNSS receiver. Background technique [0002] With the increasingly complex electromagnetic environment, GNSS receivers are subject to more and more interference. Satellite signals are generally very weak when they propagate to the earth's surface, and are extremely vulnerable to various man-made or non-man-made interferences. When anti-interference, A / D quantization needs to use high bits. In order to enhance the output signal-to-noise ratio and suppress interference, more than 8 quantization bits are used to retain enough useful information. Studies have shown that when there is strong interference, the greater the interference within a certain limit, the more quantization bits are required, and the better the anti-interference performance is. [0003] When there is no int...

AI Technical Summary

Problems solved by technology

At present, most of the implementation methods for converting quantization bits from high bits to low bits are: only retain the first few quantization results of high bit quantization, and this method has a large loss in signal to noise ratio

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