[PDF] Top 20 Parameter estimation for SAR micromotion target based on sparse signal representation

... behind sparse signal representation is, to find the most compact representation of a signal as a linear combination of a few elements (or atoms), in an over-complete dictionary ... See full document

... rotary target for FMCW SAR are analysed based on the construction of echo signal ...FMCW SAR based on micromotion modulation is ...the target screened is protected ... See full document

... LFM signal is a kind of classical non-stationary signal, which is widely used in radar, sonar, seismic detection, and so ...DOA estimation algorithm does not apply to such non- stationary signals; ... See full document

... the target states may lay aside from the centers of the grid cells, the received signal d is not necessarily equal to the summation of the corresponding P columns in ...reconstructed signal of a ... See full document

... of signal processing and image processing results as simple as ...of sparse representation in ...of sparse representation is becoming more and more ...traditional signal ... See full document

... the sparse matrix having sparse coefficients ε A fixed power definition is specified through adopted channel model and according to the RSS matrix readings on the grid scale the location of the targets are ... See full document

... Abstract—Sparse representation is the fundamental technology of compressive sensing, sparse three- dimensional (3-D) imaging, and dictionary-based parameter ...Typical sparse ... See full document

... the sparse representation coefficients from different views may be different in the coefficient distri- bution, they share most support ...The sparse representation coefficients ^ x j ; j ¼ 1; ... See full document

... vibrating target with amplitude of 5 mm, a frequency of 20 Hz, and initial phase of π rad is located at ...simulated SAR returns, the range line of the vibrating object was ...time-frequency ... See full document

... block sparse distribution of targets is a common assumption for SAR ...spotlight SAR imaging algorithm based on tensor decomposition is developed, which exploits the block sparsity of the ... See full document

... various sparse representation methods such as OMP (orthogonal match- ing pursuit) find a sparse signal that can best represent the original ...for sparse repre- sentation that yields ... See full document

... utilize sparse methods such as weighted SL0, W-SL0, and SL0 [22], as two methods of finding spare answer of P 0 problem and weighted P 0 problem, ...the sparse answer. We also have run the simulation for ... See full document

... Channel estimation in OFDM system can be performed in many ways, channel estimation is the major essential component to be calculated for the wireless communication systems (such as mobile) because these ... See full document

... The application of 3SD to image denoising is presented here. A major difficulty of denoising is to separate the underlying signal from the noise. The proposed 3SD method could win this challenge. In the 3SD ... See full document

... fixed parameter values, its feature vector has a dimension equal to the number of pixels in a normalized image patch, after appropriately dealing with edge ... See full document

... DOA estimation has been widely investigated, two-dimensional (2D) DOA estimation is of greater practical ...DOA estimation methods have met problems of high arithmetic complexity and pair- matching ... See full document

... The blind image deconvolution problem is encountered in many different technical areas, such as astronomical imaging, remote sensing, microscopy, medical imaging, optics, super-resolution applications, and motion track- ... See full document

... process sparse representation coding is the process for finding the coefficient based on signal y having the dictionary D by using the equation(P0) min ||x||0 subject to y = ...the ... See full document

... Several blind (i.e., non data-aided) algorithms for esti- mating some of the parameters of interest have been pro- posed in the literature. In particular, some of them exploit the cyclostationarity properties exhibited ... See full document

... In TOA system, a symbol that contains the emission time information is called timestamp. Detecting time- stamps is the key technique in the system. The carriers currently used in TOA system are all dual-phase modu- ... See full document