Pattern diversity to support a MIMO receiver and associated methods
First Claim
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1. A multiple-input multiple-output (MIMO) communications system comprising:
- a transmitter configured to transmit M source signals;
a transmit antenna array connected to said transmitter and comprising M antenna elements for transmitting the M source signals;
a receive antenna array comprising N antenna elements for receiving at least M different summations of the M source signals, with N being less than M;
a receiver connected to said receive antenna array and configured to receive the at least M different summations of the M source signals; and
a signal separation processor connected to said receiver for forming a mixing matrix comprising the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M;
said signal separation processor for separating desired source signals from the mixing matrix based on a knowledge based processing signal extraction process, with the knowledge based signal separation process separating the desired source signals from the mixing matrix based on at least one of a zero forcing (ZF) process, and a minimum mean squared estimation (MMSE) process.
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Abstract
A MIMO communications system includes a transmitter, and a transmit antenna array connected to the transmitter and having M antenna elements for transmitting M source signals. A receive antenna array is connected to a receiver and has N antenna elements for receiving at least M different summations of the M source signals, with N being less than M. A signal separation processor is connected to the receiver for forming a mixing matrix that includes the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M. The signal separation processor separates desired source signals from the mixing matrix.
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Citations
31 Claims
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1. A multiple-input multiple-output (MIMO) communications system comprising:
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a transmitter configured to transmit M source signals; a transmit antenna array connected to said transmitter and comprising M antenna elements for transmitting the M source signals; a receive antenna array comprising N antenna elements for receiving at least M different summations of the M source signals, with N being less than M;
a receiver connected to said receive antenna array and configured to receive the at least M different summations of the M source signals; anda signal separation processor connected to said receiver for forming a mixing matrix comprising the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M; said signal separation processor for separating desired source signals from the mixing matrix based on a knowledge based processing signal extraction process, with the knowledge based signal separation process separating the desired source signals from the mixing matrix based on at least one of a zero forcing (ZF) process, and a minimum mean squared estimation (MMSE) process. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for operating a multiple-input multiple-output (MIMO) communications system comprising:
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operating a transmitter configured to transmit M source signals; transmitting the M source signals from a transmit antenna array connected to a transmitter, the transmit antenna array comprising M antenna elements; receiving at a receive antenna array at least M different summations of the M source signals, with N being less than M, the receive antenna array comprising N antenna elements; and providing the at least M different summations of the M source signals to a receiver; and processing by a signal separation processor connected to the receiver the at least M different summations of the M source signals, the processing comprising forming a mixing matrix comprising the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M, and separating desired source signals from the mixing matrix based on a knowledge based processing signal extraction process, with the knowledge based signal separation process separating the desired source signals from the mixing matrix based on at least one of a zero forcing (ZF) process, and a minimum mean squared estimation (MMSE) process. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A multiple-input multiple-output (MIMO) communications system comprising:
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a transmitter configured to transmit M source signals; a transmit antenna array connected to said transmitter and comprising M antenna elements for transmitting the M source signals; a receive antenna array comprising N antenna elements for receiving at least M different summations of the M source signals, with N being less than M;
a receiver connected to said receive antenna array and configured to receive the at least M different summations of the M source signals; anda signal separation processor connected to said receiver for forming a mixing matrix comprising the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M; said signal separation processor comprising a blind signal separation processor for separating desired source signals from the mixing matrix, wherein separating the desired source signals from the mixing matrix is based on at least one of principal component analysis (PCA), independent component analysis (ICA), and single value decomposition (SVD). - View Dependent Claims (26, 27)
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28. A method for operating a multiple-input multiple-output (MIMO) communications system comprising:
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operating a transmitter configured to transmit M source signals; transmitting the M source signals from a transmit antenna array connected to a transmitter, the transmit antenna array comprising M antenna elements; receiving at a receive antenna array at least M different summations of the M source signals, with N being less than M, the receive antenna array comprising N antenna elements; and providing the at least M different summations of the M source signals to a receiver; and processing by a blind signal separation processor connected to the receiver the at least M different summations of the M source signals, the processing comprising forming a mixing matrix comprising the at least M different summations of the M source signals so that the mixing matrix has a rank equal to at least M, and separating desired source signals from the mixing matrix, wherein separating the desired source signals from the mixing matrix is based on at least one of principal component analysis (ECA), independent component analysis (ICA), and single value decomposition (SVD) - View Dependent Claims (29, 30, 31)
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Specification