Xueqiong Li

Xueqiong Li
Imperial College London | Imperial · Department of Electrical and Electronic Engineering

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12
Publications
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367
Citations

Publications

Publications (12)
Article
Full-text available
Visible light communication (VLC) is a promising technology with a high data rate that can supplement radio frequency communication. Although VLC systems have a natural advantage of high security due to the line-of-sight light propagation characteristic, they are still vulnerable when facing an open environment. Device fingerprinting is a technique...
Article
Full-text available
Automatic modulation classification (AMC) is an important and challenging task that aims to discriminate modulation formats of received signals, such as military communications, cognitive radio and spectrum management. With the development of deep learning techniques, research in AMC has gained promising results because of its powerful representati...
Article
Full-text available
Analyzing radar signals is an important task in operating electronic support measure (ESM) systems. The received signals in the real electromagnetic environment often originate from multiple emitters and must be separated for further processing. Pulses from important target emitters with known parameters should be picked out first. To solve the pro...
Article
Full-text available
Analyzing and recognizing radar signals are important tasks for effective Electronic Support Measurement (ESM) system operation. The electromagnetic environment is highly complex nowadays, however, resulting in non-uniformed distributed pulse streams. The high-dimensional features of the radar emitters are also overly complicated. Isolating useful...
Article
Full-text available
Analyzing radar signals is a critical task in modern Electronic Warfare (EW) environments. However, the pulse streams emitted by radars have flexible features and complex patterns which are difficult to be identified from a statistical perspective. To solve this problem, pulse repetition interval (PRI) is used as a distinguishing parameter of emitt...
Article
Full-text available
There are many cases in which the noise corrupts the signals in a significant manner. To better analyze these signals, the noise must be removed from the signals for further data analysis, and the process of noise removal is referred to as denoising. In this letter, we propose a novel approach to the pulse denoising problem by extracting features f...
Article
Full-text available
The performance of existing signal detection methods depend heavily on the amount of prior information acquired by the sensor of interest. Therefore, to improve cognitive radio-based detection in low-SNR environments, we propose a deep learning method based passive signal detection. A convolution neural network (CNN) and long short-term memory (LST...
Article
Full-text available
Spectrum sensing is one of the technologies that is used to solve the current problem of low utilization of spectrum resources. However, when the signal-to-noise ratio is low, current spectrum sensing methods cannot well-handle a situation in which the prior information of the licensed user signal is lacking. In this paper, a blind spectrum sensing...
Article
In modern electronic warfare environment, there are multiple radars transmitting signals. For an Electronic Support (ES) system, it is essential to recognize the modulation of pulse repetition interval (PRI) since it is directly related to indication of radar emitters. However, PRI modulations are more difficult to recognize in modern electronical...

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