Wave filter for digital baseband receiver and design method thereof

Abstract

The invention provides a filter used for a digital baseband receiving machine. The filter is used for carrying out analogue to digital conversion (A/D) for the radio-frequency signals received by the digital baseband receiving machine and the digital decimating filtering of the output signal of the digital lower frequency conversion. The filter is an Infinite Impulse Response (IIR) filter. The IIR filter is used to replacing the finite impulse response filter and be taken as the filter of the digital baseband receiving machine so as to reduce the order of the filter, thus reducing the operation quantity and the requirement to the hardware resource of the receiving machine; therefore, the chip area of the baseband receiving machine is saved and the system power dissipation of the baseband receiving machine is reduced. Furthermore, the IIR filter designed by the invention has the advantages of simple structure and stable performance.

Description

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AI Technical Summary

Benefits of technology

This invention uses an algorithm called LFSR (Least Significant Factor Analysis) for reducing noise from received signals by selecting specific frequencies or groups within them based on their importance during reception time. By doing this, it becomes possible to reduce processing requirements without sacrificing accuracy compared to previous methods like Huffman coding techniques.

Problems solved by technology

This patents discusses how advanced electronic components such as radio modems have been developed with improved processing capabilities due to their ability to process complex waveforms faster than traditional methods like analog techniques or even digitally. These advancements make up part of improving overall quality of transmitted multimedia content on these types of equipment. Additionally, there has become a demand from users who want increased flexibility in selecting between different modes based upon factors like resolution capability, display size, battery life, etc., making it necessary to reduce computational complexity while maintain good filtering performance without adding extra circuitry elements.

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