Novel blind interleaver parameter estimation in a noncooperative context
C Choi, D Yoon - IEEE Transactions on Aerospace and …, 2018 - ieeexplore.ieee.org
C Choi, D Yoon
IEEE Transactions on Aerospace and Electronic Systems, 2018•ieeexplore.ieee.orgIt is well known that the distribution of the ranks of random matrices follows a specific
distribution. By partitioning ranks into two possible outcomes, we can transform the
estimating interleaver parameters into the counting of success events. Using this
probabilistic framework, we can efficiently determine interleaver parameters in a
noncooperative context.
distribution. By partitioning ranks into two possible outcomes, we can transform the
estimating interleaver parameters into the counting of success events. Using this
probabilistic framework, we can efficiently determine interleaver parameters in a
noncooperative context.
It is well known that the distribution of the ranks of random matrices follows a specific distribution. By partitioning ranks into two possible outcomes, we can transform the estimating interleaver parameters into the counting of success events. Using this probabilistic framework, we can efficiently determine interleaver parameters in a noncooperative context.
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