In the last two decades, the installation and production of photovoltaic (PV) plants increased
widely. As the PV system operation time grew, more and more defect occurred on the PV …

There are fixed thresholds in the conventional double threshold sensing techniques. There
is no sensing or confusion region when the test statistic lies between high and low …

In the distributed spectrum sensing algorithm, multiple sensing users jointly perform
cooperative spectrum sensing, which can effectively solve the hidden terminal problem and …

Precise signal detection on time domain is a vital task in the information processing of
modern wireless systems, but challenges persist in accuracy. Conventional time-domain …

针对超短波频段中存在的5 kHz 信道, 25 kHz 信道, 宽带干扰信道, 窄带干扰信道和单音干扰
信道的分类识别问题, 提出了一种基于镜像填充谱与局部二值模式的注意力机制残差网络(LBP …

Detecting signals is often presented as a simple and solved problem. However, signal
detection is typically not the only goal, as signal localization in time and frequency is often …

The detection of radio signals using object detection algorithms is one of the applications of
deep learning in the realm of communication. However, due to the vast size of deep neural …

为了解决静态频谱分配仅将频谱分配给授权用户导致频谱资源紧缺的问题ꎬ
对认知无线电中频谱感知部分进行优化ꎮ 由于能量检测方法中选取固定门限值对不同信噪比 …

A novel algorithm is introduced to improve collaborative spectrum sensing under low
cognitive capabilities and insufficient signal-to-noise ratio. The algorithm is based on the …

In this paper, primarily, stochastic analysis of M out of N (M/N) detector which is used in
digital receivers of electronic warfare (EW) systems is performed, and the proposed method …