In this paper, a compressive detection approach for detecting the presence of multiple
Frequency Hopping Spread Spectrum (FHSS) signals is introduced. The large bandwidth …

Compressive Sensing (CS) theory breaks through the limitations of traditional Nyquist
sampling theorem, accomplishes the compressive sampling and reconstruction of signals …

Focusing on the estimation of the hopping period of the frequency-hopping (FH) signals, this
paper proposes a novel method based on the binary-sum in the frequency domain. First, the …

This paper focuses on wide-sense stationary signal processing within a compressive
sensing framework, proposing a new method of compressive sampling fast Fourier transform …

In the problem of the parameter estimation of frequency-hopping (FH) signals, most of
existing works can only provide the unauthorised detection of the FH signals or estimate the …

In order to effectively solve the problem of dealing pressure in ultra wideband, ultra high
frequency, high bit rate, and high sampling rate of frequency hopping signal in military …

Digital television terrestrial broadcasting (DTTB) industry has achieved rapid development in
recent years. It is now facing new development opportunities for next-generation wireless …

As an enabling technique of cognitive radio (CR), compressive spectrum sensing (CSS)
based on compressive sensing (CS) can detect the spectrum opportunities from wide …

To effectively estimate the parameters of the multiple frequency-hopping signals, a blind
parameter estimation method based on time–frequency diagram modification is proposed …