Fpga-based High-speed Real-time Signal Processing Technology

In today's electronic warfare, digital signal processing is widely used in electronic warfare (EW) receivers. EW receivers cover wide instantaneous bandwidth. In order to realize real-time processing, we use high-speed ADC to convert analog signal to digital signal. It's difficult to match the speed of digital circuits to high-speed ADC. It is more and more important to research real-time signal processing algorithm and it's implementation. Using hardware to implement signal processing algorithms, is a trendency of improving processing speed. In this paper, we base on FPGA platform to implement digital signal processing algorithms. It can greatly improve the speed of IF signal processing and realize real-time processing. The major content of this paper is consisted of : 1) Researching the implementation of high performance FFT processor based on FPGA. The Fast Fourier Transform (FFT) is one of the most important algorithm of real-time signal processing. It's widely used in EW receivers. The main approaches of improving FFT processing speed include pipeline and parellel architecture. We design a 1024-point FFT processor, using radix-4 parallel butterflies. It computes 4 parallel data in 1 clock cycle. The FFT processor can process frames of 18-bit complex samples at a rate of four output samples per 100MHz clock cycle,thus performing a 1024-point transform in approximately 2.56 us. 2) Researching the implementation of signal detection based on FPGA and acquiring the parameter of IF signal, such as frequency,amplitude and phase. In this paper, we analyse two widely used detection algorithms : GO-CFAR detection and sliding detection. We have implemented sliding detect based on FPGA, and accomplished the fast parameter detection. The results of computer simulation and FPGA simulation indicate that the technique is feasible and the experiment results show that the performance of the system is excellent.