Multicomponent chirp signals analysis using product cubic phase function
Digital Signal Processing
Application of high frequency ground wave radar to detect the targets of variable acceleration
ECC'08 Proceedings of the 2nd conference on European computing conference
IEEE Transactions on Signal Processing
Short-time fractional fourier transform and its applications
IEEE Transactions on Signal Processing
Approximating the time-frequency representation of biosignals with chirplets
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
A new LFM-signal detector based on fractional Fourier transform
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
LFM signal detection using LPP-Hough transform
Signal Processing
Performance analysis on Lv distribution and its applications
Digital Signal Processing
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A novel time-frequency technique for linear frequency modulated (LFM) signal detection is proposed. The design of the proposed detectors is based on the Radon transform of the modulus square or the envelope amplitude of the ambiguity function (AF) of the signal. A practical assumption is made that the chirp rate is the only parameter of interest. Since the AF of LFM signals will pass through the origin of the ambiguity plane, the line integral of the Radon transform is performed over all lines passing through the origin of the ambiguity plane. The proposed detectors yield maxima over chirp rates of the LFM signals. This reduces the two-dimensional (2-D) problem of the conventional Wigner-Ville distribution (WVD) based detection or the Radon-Wigner transform (RWT) based detector to a one-dimensional (1-D) problem and consequently reduces the computation load and keeps the feature of “built-in” filtering. Related issues such as the finite-length effect, the resolution, and the effect of noise are studied. The result is a tool for LFM detection, as well as the time-varying filtering and adaptive kernel design for multicomponent LFM signals