An Integrated and Miniaturized Multi-Channel Distributed Cooperative Spectrum Sensing Technology Based on Zynq

Abstract

<div class="section abstract"><div class="htmlview paragraph">In response to the escalating demand for high-performance, miniaturized, and integrated radio frequency (RF) systems, this research explores the application of the Zynq UltraScale+ RFSoC XCZU47DR chip in the realm of integrated RF transceiver technology. An 8-channel, 4.8Gsps multi-channel distributed collaborative spectrum sensing architecture has been designed, incorporating lightweight IQ neural network, which comprises a convolutional layer, three Bottleneck Units (BNU), a Global Average Pooling (GAP) layer, and a Fully Connected (FC) layer. Notably, each BNU encapsulates one or two inverted bottleneck residual blocks that integrate the concepts of inverted residual blocks and linear bottlenecks. The parameter counts and computational complexity associated with the convolution operation are significantly reduced to merely 11.89% of those required by traditional networks. The performance metrics of the hardware circuit were validated through a constructed test system. Within a 2GHz instantaneous bandwidth, the amplitude consistency between Analog-to-Digital Converter (ADC) channels is less than 1dB, and the effective number of bits exceeds 7.3 bits. Simulation results demonstrate that, at a Signal-to-Noise Ratio (SNR) of -10dB with a false alarm probability of 0.5%, the detection probability of the collaborative spectrum sensing algorithm reaches 91.13%, marking a 6dB enhancement over conventional energy detection methods. This achievement underscores the technology’s substantial advantage in boosting spectrum sensing capabilities, providing novel perspectives for the design of RF systems and the evolution of wireless communication technologies.</div></div>