To solve the problem of bit error rate (BER) performance degradation over strong solar wind
turbulence channel, this paper addresses to Gaussian minimum frequency shift keying …

The atmospheric noise widely present in very-low-frequency and low-frequency (VLF/LF)
communication systems is usually considered as a type of impulsive noise, which can …

The pulse position modulation (PPM) demodulation system for space laser communication
based on the cascade of deep belief network (DBN) and support vector machine (SVM) is …

Due to high speed of low earth orbit (LEO) satellites and wide footprint that satellite
antennas may cover, space-borne AIS (automatic identification system) receivers encounter …

In order to solve the problem of the performance degradation of space laser communication
system caused by atmospheric turbulence, a deep learning method based on deep neural …

The use of high-order constellation modulations is imperative to improve the spectral
efficiency, for both radio frequency/laser-based satellite systems and optical wireless …

The noise signal produced by solar radio bursts (SRBs) is one of the significant factors
influencing the navigation signal. The study of the detection of SRBs is meaningful to the …

This research aims to analyze the effects of different parameter estimation on the recognition
performance of satellite modulation signals based on deep learning (DL) under low signal to …

Solar radio bursts are a kind of instantaneously enhanced radio waves from the Sun. The
high-intensity signals can seriously interfere with radio communication and navigation …

As a crucial part of ubiquitous networking and computing (UNC) technologies, low earth
orbit (LEO) satellite communications aim at providing internet connectivity services …