多通道自相关信号检测算法及其FPGA实现

Multi-channel self-correlation signal detection algorithm and its FPGA implementation

本文给出了一种适合于用硬件实现的多通道自相关信号检测算法。该算法采用三路并行的自相关信号检测通道,在三路中采用不同的相关点数和检测门限,最后综合考虑三路的检测结果,给出最终的检测结果。这种多通道自相关信号检测方法,与传统的单通道信号检测算法相比,具有检测灵敏、精度高的优点;与其他复杂的时域或频域信号检测算法相比具有算法简单、实时性好、易于硬件实现的优点。通过利用FPGA器件中丰富的逻辑单元、乘法器、存储器等资源,实现了对淹没在高斯白噪声中的信号的快速、准确检测,FPGA时序仿真结果表明该算法切实可行。

A hardware effective multi-channel self-correlation signal detection algorithm is given in this paper. The basic structure of this algorithm comprises three channels. In each channel, there is an independent self-correlation cell with different correlation dots and different thresholds. By synthesizing the detection results from three independent channels, final detection result is derived. Comparing with conventional single channel detection algorithm, this method can give a detection result faster and more sensitive. Comparing with other complex time domain or frequency domain signal detection algorithms, this multi-channel self-correlation algorithm has the advantage of much simpler algorithm, better real-time capability and can be realized much easier. The after-placing-and-routing simulation results show that using the luxuriant logic cells, RAM, ROM and DSP blocks in the FPGA, StratixlI （EPIS25F780C5）, this multi-channel self-correlation signal detection algorithm can detect the signal in Gaussian white noise quickly and accurately, which indicates that the hardware realization of this algorithm is feasible.