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Under the common state space model for tracking a maneuvering target, the tracker needs to adapt its state transition model timely to match the target maneuver, which is usually carried out by finding the best one from a bank of candidate Markov models or employing all of them simultaneously but assigning different probabilities. Both methods suffer from time delay for confirming the target maneuver...
We consider the detection of an emitter using multiple sensors. Since the emitter location is unknown, the observation depends on the range between the emitter and the sensor. We seek to optimize the detection performance by choosing the sensor locations against the least favorable distribution of the emitter location. Both centralized and distributed configurations are studied where one seeks to...
The linear minimum mean-square error (LMMSE) estimation plays an important role in nonlinear estimation. It is the best of all estimators that are linear in the measurement. However, it may not perform well for a highly nonlinear problem. A generalized linear estimation framework, namely, linear in transform (LIT) estimation, is proposed in this work. It employs a measurement transform function (MTF)...
The problem of haplotype reconstruction based on aligned single nucleotide polymorphism (SNP) fragments is formulated as decoding over a discrete memoryless channel. An information theoretic view point is used to illustrate the deficiency of parsimonious models such as minimum error correction model. A new computational model with genotype information is proposed and a low complexity reconstruction...
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