Effects of noise, sampling rate and signal sparsity for compressed ...
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Abstract: The traditional radar system needs large bandwidth, and the increasing number of channels brings huge amount of data.
This paper first briefly introduces CS SAR pulse compres- sion method, then focus on the effects of noise, sampling rate and signal sparsity for CS SAR imaging, ...
A new method of acquiring Synthetic Aperture Radar (SAR) raw data and compressing pulse which based on the theory of Compressive Sensing (CS) theory are ...
In this method, CS SAR imaging is affected by noise, sampling rate and the sparsity of signal. Furthermore, Donoho-Tanner phase transition diagram is applied to ...
Bibliographic details on Effects of noise, sampling rate and signal sparsity for compressed sensing Synthetic Aperture Radar pulse compression.
This paper surveys the use of sparse reconstruction algorithms and randomized measurement strategies in radar processing. Although the two themes have a long ...
A general synthetic aperture radar (SAR) signal model is derived from the Maxwell's equations, and compressed sensing are introduced to the signal model for SAR ...
Oct 25, 2016 · It's often said that pulse compression gives you a gain proportional to the time-bandwidth product (otherwise known as the pulse compression ...
Missing: sparsity | Show results with:sparsity
However, noise, especially active noise jamming, will degrade its performance. This paper describes the signal model of a CS imaging radar under noise jamming.
We demonstrate that CS has the potential to make two significant improvements to radar systems: (i) eliminating the need for the pulse compression matched ...