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The micro-motion of a subject induces Doppler frequency modulations around the carrier frequency of the reflected sensor signals. Recently, it has been proved that sea clutter is significantly variable and sea surface subjects have their micro-motions influenced by the sea state. The micro-Doppler (m-D) signatures can describe the refined motion characteristics of sea surface target. The micromotion...
Using the sparse property of the signal from a marine target with quadratic modulated frequency (QFM) micromotion signature, the detection in sparse domain is studied. An algorithm for separation of sea clutter and micro-Doppler signal is proposed based on the Morphological Component Analysis (MCA). At first, the signal model of a marine target with micromotion is established, which can be modelled...
The micro-Doppler (m-D) signature of a sea surface target is employed for detection and modeled as a quadratic frequency modulated (QFM) signal. Furthermore, a novel long-time coherent integration method, i.e., Radon-fractional ambiguity function (RFRAF), is proposed to detect the m-D signal, which can compensate the range and Doppler migrations simultaneously. The m-D signal can be well matched and...
The sparse decomposition principle is introduced and a detection algorithm of target with micro-motion embedded in sea clutter is proposed, which can detect and extract micro-Doppler (m-D) signals in low signal-to-clutter ratio environment. Firstly, the three dimensional model of radar echo from micro-motion target is established including the 3-D rotated movements (pitch, roll, and yaw movements)...
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