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Journal articles
Analytical Blind Channel Identification
Abstract : A novel analytical blind single-input single-output (SISO) identification algorithm is presented, based on the noncircular second-order statistics of the output. It is shown that statistics of order higher than two are not mandatory to restore identifiability. Our approach is valid, for instance, when the channel is excited by phase shift keying (PSK) inputs. It is shown that the channel taps need to satisfy a polynomial system of degree 2 and that identification amounts to solving the system. We describe the algorithm that is able to solve this particular system entirely analytically, thus avoiding local minima. Computer results eventually show the robustness with respect to noise and to channel length overdetermination. Identifiability issues are also addressed.
https://hal.archives-ouvertes.fr/hal-01148748
Contributor : Lip6 Publications <>
Submitted on : Tuesday, May 5, 2015 - 11:58:23 AM
Last modification on : Tuesday, May 26, 2020 - 6:50:28 PM
Contributor : Lip6 Publications <>
Submitted on : Tuesday, May 5, 2015 - 11:58:23 AM
Last modification on : Tuesday, May 26, 2020 - 6:50:28 PM
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