FBMC/OQAM modulation control system and method for FPGA, and modulator

Abstract

The invention belongs to the technical field of multi-carrier communication, and discloses a FBMC / OQAM modulation control system and a method thereof for a FPGA, and a modulator, comprising: an OQAM pre-processing module, used for completing QAM mapping and alternate mapping of odd and even channels; a synthetic filtering bank (SFB) module, used for respectively performing modulation molding on the odd channel symbols and even channel symbols; a data delay module, used for delaying the modulation symbols of the even channels by 1 / 2 symbol time length; and an adder module, used for superimposing the modulation symbols of the two channels to complete the modulation of the FBMC / OQAM signal. By using a pipeline to process the continuous modulation of the FBMC / OQAM signal through a fully synchronous clock design, the invention is applied to the modulator design of the transmit end of the FBMC / OQAM system on the FPGA.

Description

technical field [0001] The invention belongs to the technical field of multi-carrier communication, and in particular relates to an FBMC / OQAM modulation control system, method and modulator for FPGA. Background technique [0002] Filter Bank Multi-Carrier (FBMC) technology and Orthogonal Frequency Division Multiplexing (OFDM) technology belong to multi-carrier modulation technology. At present, OFDM technology is the most widely used multi-carrier modulation technology. It has been extensively studied due to its simple equalization technology, extremely low complexity and high spectrum utilization due to the application of FFT. FBMC technology uses a set of optimized filter banks to achieve the purpose of out-of-band suppression. The FBMC transmission technology using quadrature amplitude modulation (OQAM) is one of the main candidate technologies for future wireless communication technologies in order to meet the same transmission efficiency as OFDM technology. In the case...

AI Technical Summary

Problems solved by technology

At this time, the KM-point IFFT transformation is required, and the computational complexity is larger than that of the M-point IFFT transformation. At the same time, the frequency domain expansion operation requires KM multipliers. In addition, the operation of loop superposition also needs to consume a large amount of memory (RAM) resources;

[0005] (2) Use the time domain windowing method, that is, the data after OQAM modulation is directly subjected to IFFT transformation, and the data obtained by IFFT transformation is cyclically copied and then windowed and superimposed. It should be noted that the number of IFFT transformation points is M, and the length of the window function is KM, at this time, the windowing operation requires at least M multipliers, and the superposition operation also consumes a lot of RAM resources;

[0006] (3) The method of using a polyphase network, that is, the data after OQAM modulation is directly subjected to IFFT transformation, and the data after IFFT transformation is passed through the polyphase network for serial-to-parallel conversion. This method uses M-point IFFT transformation, but the polyphase network requires KM multiplier, which consumes a lot of FPGA resources while speeding up data processing

[0008] (1) In the frequency domain expansion and time domain windowing methods, the loop superposition operation will bring a lot of RAM resource occupation and high delay;

[0009] (2) In the case of low latency, the polyphase network introduces too many multipliers, which consumes a lot of FPGA resources;

[0010] (3) In the time-domain windowing method, due to the use of RAM, the full pipeline implementation of the algorithm cannot be guaranteed, which reduces the efficiency of data calculation

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