Method and system for reordered QRV-LST (layered space time) detection for efficient processing for multiple input multiple output (MIMO) communication systems
View Patent ↗Aspects of a method and system for reordered QRV-LST (layered space time) detection for efficient processing for multiple input multiple output (MIMO) communication systems are presented. The method may include receiving an ordered plurality of signals wherein each of the ordered plurality of received signals comprises information contained in an ordered plurality of spatial streams. Each spatial stream may comprise one or more frequency carriers, or tones. Information, or data, contained in a corresponding one of the ordered plurality of spatial streams may be detected. The order in which the information is detected may be determined for each individual frequency carrier.
1. A method for processing signals in a communication system, the method comprising:
receiving in a transceiver, an ordered plurality of signals wherein each of said ordered plurality of received signals comprises information contained in an ordered plurality of spatial streams, each one of said ordered plurality of spatial streams comprising at least one frequency carrier;
detecting in said transceiver, estimated values for a portion of said information contained in a corresponding one of said ordered plurality of spatial streams in an order based on said at least one frequency carrier, using a quantization for reordered (QRV) decomposition matrix; and
detecting said estimated values for said portion of said information in a current one of said ordered plurality of spatial streams and one or both of: a preceding portion of said information contained in a preceding one of said ordered plurality of spatial streams, and a subsequent portion of said information contained in a subsequent one of said ordered plurality of spatial streams, in a specified order.
2. The method according to claim 1 , wherein said specified order is determined for each of said at least one frequency carrier.
3. The method according to claim 1 , comprising detecting said estimated values for said information based on one or more of: a channel estimate matrix, a beamforming matrix, and a permutation matrix.
4. The method according to claim 3 , comprising determining, for each of said at least one frequency carrier, corresponding values associated with said one or more of: said channel estimate matrix, said beamforming matrix, and said permutation matrix.
5. The method according to claim 4 , wherein said each of said at least one frequency carrier is associated with an RF channel utilized for receiving said ordered plurality of received signals.
6. The method according to claim 4 , wherein said channel estimate matrix is computed based on one or both of: an upper diagonal matrix, and a lower diagonal matrix.
7. The method according to claim 6 , wherein said one or both of: said upper diagonal matrix, and said lower diagonal matrix, comprise diagonal terms whose corresponding values are about equal.
8. The method according to claim 6 , comprising computing an estimated value for a portion of information associated with an ith one of a reordered plurality of spatial streams by computing a difference between:
an estimated value associated with an (N−i+1)th one of said plurality of received signals; and
a sum comprising (i−1) number of multiplicative products wherein each said multiplicative product comprises:
an (N−j+1)th one of said reordered plurality of spatial streams; and
an (N−i+1)th matrix element in a jth row of said one or both of: said upper diagonal matrix and said lower diagonal matrix;
and dividing said computed difference by a value for a diagonal matrix element in an (N−i+1)th row of said one or both of: said upper diagonal matrix, and said lower diagonal matrix;
wherein N is a variable that represents a number of spatial streams contained in said reordered plurality of spatial streams, and i and j are indexes, each comprising a range of values from at least 1, to no greater than N.
9. The method according to claim 8 , comprising determining said reordered plurality of spatial streams by multiplying said ordered plurality of spatial streams and a transposed version of said permutation matrix.
10. The method according to claim 1 , wherein said QRV decomposition matrix comprises geometric mean decomposition matrix (GMD) elements.
11. A system for processing signals in a communication system, the system comprising:
circuitry that enables reception of an ordered plurality of signals wherein each of said ordered plurality of received signals comprises information contained in an ordered plurality of spatial streams, each one of said ordered plurality of spatial streams comprising at least one frequency carrier;
said circuitry enables detection of estimated values for a portion of said information contained in a corresponding one of said ordered plurality of spatial streams in an order based on said at least one frequency carrier, wherein said detection utilizes a quantization for reordered (QRV) decomposition matrix; and
said circuitry enables detection of said estimated values for said portion of said information in a current one of said ordered plurality of spatial streams and one or both of: a preceding portion of said information contained in a preceding one of said ordered plurality of spatial streams, and a subsequent portion of said information contained in a subsequent one of said ordered plurality of spatial streams, in a specified order.
12. The system according to claim 11 , wherein said specified order is determined for each of said at least one frequency carrier.
13. The system according to claim 11 , wherein said circuitry enables detection of said estimated values for said information based on one or more of: a channel estimate matrix, a beamforming matrix, and a permutation matrix.
14. The system according to claim 13 , wherein said circuitry enables determination of, for each of said at least one frequency carrier, corresponding values associated with said one or more of: said channel estimate matrix, said beamforming matrix, and said permutation matrix.
15. The system according to claim 14 , wherein said each of said at least one frequency carrier is associated with an RF channel utilized for receiving said ordered plurality of received signals.
16. The system according to claim 14 , wherein said channel estimate matrix is computed based on one or both of: an upper diagonal matrix, and a lower diagonal matrix.
17. The system according to claim 16 , wherein said one or both of: said upper diagonal matrix, and said lower diagonal matrix, comprise diagonal terms whose corresponding values are about equal.
18. The system according to claim 16 , wherein said circuitry enables computation of an estimated value for a portion of information associated with an ith one of a reordered plurality of spatial streams by computing a difference between:
an estimated value associated with an (N−i+1)th one of said plurality of received signals; and
a sum comprising (i−1) number of multiplicative products wherein each said multiplicative product comprises:
an (N−j+1)th one of said reordered plurality of spatial streams; and
an (N−i+1)th matrix element in a jth row of said one or both of: said upper diagonal matrix and said lower diagonal matrix;
and dividing said computed difference by a value for a diagonal matrix element in an (N−i+1)th row of said one or both of: said upper diagonal matrix, and said lower diagonal matrix;
wherein N is a variable that represents a number of spatial streams contained in said reordered plurality of spatial streams, and i and j are indexes, each comprising a range of values from at least 1, to no greater than N.
19. The system according to claim 18 , wherein said circuitry enables determination of said reordered plurality of spatial streams by multiplying said ordered plurality of spatial streams and a transposed version of said permutation matrix.
20. The system according to claim 11 , wherein said QRV decomposition matrix comprises geometric mean decomposition (GMD) matrix elements.