Multi-user detection in cdma systems
AssigneeBoard of Trustees of Michigan State University
InventorsFathi Salem, Khurram Waheed
Life of this patent
Estimating the term…
Abstract
A natural gradient Blind Multi User Detection (BMUD) network system and method adaptively estimates a set of matrices to counter a linear convolutive environment model. Feedforward and feedback network structures may be implemented, with or without matrix inversion. In other aspects, an adaptive weighting matrix is introduced into a RAKE structure, and the matrix is adaptively estimated using Principal Component Analysis (PCA) computational techniques and/or static Blind Source Recovery (BSR) computational techniques based on Independent Component Analysis (ICA).
Claims36
A natural gradient Blind Multi User Detection (BMUD) network system that adaptively estimates a set of matrices to counter a linear convolutive environment model rn, the system comprising:
- an input receptive of at least one of the linear convolutive environment model rn or a whitened version rnw of the linear convolutive environment model rn;
- parametric matrices W0 and Wk (k=1,2, . . . K) adaptable to estimate independent user symbols yn at an nth instant based on at least one of the linear convolutive environment model rn or the whitened version rnw of the linear convolutive environment model rn;
- and
- a decision stage interpreting yn and estimating corresponding user symbol estimates {circumflex over (b)}n also at the nth instant.
An adaptive detector utilizing knowledge utilized by a RAKE receiver, comprising:
- an adaptive weighting matrix introduced into a RAKE structure, wherein the matrix is adaptively estimated using at least one of Principal Component Analysis (PCA) computational techniques and static Blind Source Recovery (BSR) computational techniques.
-23. (canceled)
A natural gradient Blind Multi User Detection (BMUD) method that adaptively estimates a set of matrices to counter a linear convolutive environment model rn, comprising:
- receiving at least one of the outputs of the linear convolutive environment model rn or a whitened version rnw of the outputs of the linear convolutive environment model rn;
- adapting parametric matrices W0 and Wk to estimate independent user symbols yn at an nth instant based on at least one of the linear convolutive environment model rn and the whitened version rnw of the linear convolutive environment model rn;
- and
- interpreting yn and estimating corresponding user symbol estimates {circumflex over (b)}n also at the nth instant.
An adaptive detection method, comprising:
- introducing an adaptive weighting matrix into a RAKE structure, wherein the matrix is adaptively estimated using at least one of Principal Component Analysis (PCA) computational techniques or static Blind Source Recovery (BSR) computational techniques based on Independent Component Analysis (ICA).
-45. (canceled)
Dependencies are inferred from the claim text.