Design of tunable FIR filter

　　The overall idea of the design is: using the input waveform parameters, with the help of MATLAB FDAtool tool to calculate the FIR filter parameters, stored in RAM. The filter core module reads the parameter information, adjusts the filter cut-off frequency and other parameters, and adjusts the function of the module.

　　4G mobile communication is in the ascendant, the industry for 5G mobile communication technology discussion has been in full swing. Sparse Code Multiple Access (SCMA), a technology based on flexible adaptive gap waveform technology and multifold enhancement of spectrum efficiency, has become the focus of the industry. Among them, the optimization of frequency band resource utilization is the core of FOFDM. People pay attention to the hardware implementation of the algorithm while studying the optimization of the algorithm. Field Programmable Gate Array (FPGA) has unique advantages in energy consumption, cost, computing speed and other aspects, and has been widely used in various digital signal processing and digital communication fields. This paper focuses on the adjustable FIR filter with FOFDM, and designs and implements the adjustable FIR filter based on FPGA.

　　In recent years, the research of digital filters based on FPGA has made a lot of achievements. However, from the existing literature, there is no reference method for adaptively based air mouth waveform technology. Section 1 of this paper is the core module design, Section 2 is the MATLAB simulation results and system simulation results, and Section 3 gives the basic conclusions and the next research objectives.

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