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Information distances for radar resolution analysis
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
A stochastic approach to resolution based on information distances computed from the geometry of data models which is characterized by the Fisher information is explored. Stochastic resolution includes probability of resolution and signal-to-noise ratio (SNR). The probability of resolution is assessed from a hypothesis test by exploiting information distances in a likelihood ratio. Taking SNR into account is especially relevant in compressive sensing (CS) due to its fewer measurements. Based ondoi:10.1109/camsap.2017.8313060 dblp:conf/camsap/PribicL17 fatcat:jf37mnv475eclfhxwq4yienjx4