Apparatus and a method for data detecting using a low bit analog-to-digital converter
US-2018269932-A1 · Sep 20, 2018 · US
US10536200B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10536200-B2 |
| Application number | US-201816164799-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 19, 2018 |
| Priority date | Oct 31, 2017 |
| Publication date | Jan 14, 2020 |
| Grant date | Jan 14, 2020 |
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A method that may include receiving, by multiple antennas of a receiver, received signals that are received with diversity and represent transmitted signals; and processing, by at least one processor of the receiver, the received signals to provide processed signals that are indicative of the transmitted signals; wherein the processing comprises applying a dimension-reducing process. The dimension-reducing process may be channel independent.
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We claim: 1. A method comprising: receiving, by multiple reception elements of a receiver, received signals that are received with diversity and represent signals that originated from a signal source; and processing, by at least one processor of the receiver, the received signals to provide processed signals that are indicative of the signals that originated from the signal source; wherein the processing comprises performing a dimension-reducing process that is channel independent on a set of signals received at multiple points of time by each reception element of the multiple reception elements. 2. The method according to claim 1 wherein the performing of the dimension reduction process comprises applying linear operations that are channel independent. 3. The method according to claim 1 wherein the dimension reducing process is a dimension reducing linear space-time process. 4. The method according to claim 1 wherein the dimension reducing process is a dimension reducing semi-orthogonal linear space-time process. 5. The method according to claim 1 wherein the dimension reducing process is a dimension reducing space-frequency process. 6. The method according to claim 1 wherein the performing of the dimension reduction process comprises applying a dimension reduction matrix that is channel independent. 7. The method according to claim 6 wherein a transpose of the dimension reduction matrix represents a linear operation performed by an Alamouti modulation, expressed over real values, applied to the received signals. 8. The method according to claim 7 wherein for a set of signals of two points in time and for two reception elements the dimension reduction matrix has four rows and eight columns, wherein the first row includes 1/sqr(2), 0, 0, 0, 0, 0, 1/sqr(2), 0; wherein the second row includes 0, 1/sqr(2), 0, 0, 0, 0, 0, −1/sqr(2); wherein the third row includes 0, 0, 1/sqr(2), 0, −1/sqr(2), 0, 0, 0; and wherein the fourth row includes 0, 0, 0, 1/sqr(2), 0, 1/sqr(2), 0, and 0. 9. The method according to claim 1 wherein for a set of signals of two points in time and for two reception elements the dimension reduction operation is done over the complex field. 10. The method according to claim 1 wherein the performing of the dimension reduction process comprises applying linear operations and conjunction operations that are channel independent. 11. The method according to claim 10 wherein for a set of signals that comprises of two points in time and for two reception elements the applying linear operations and conjunction operations comprises (a) summing a signal received by a first reception element at a first point of time with a conjunction of a signal received by a second reception element at a second point of time, and (b) subtracting from a signal received by the second reception element at the first point of time, a conjunction of a signal received by the first reception element at a second point of time. 12. The method according to claim 1 wherein the multiple reception elements of the receiver are multiple antennas and wherein the signals that originated from the signal source are transmitted signals. 13. The method according to claim 1 wherein the processing comprises performing analog to digital conversion. 14. The method according to claim 13 , wherein the analog to digital conversion is executed by a group of at least one analog to digital converter; wherein a number of analog to digital converters of the group is smaller than a number of the multiple antennas. 15. The method according to claim 13 , wherein the preforming of the analog to digital conversion precedes the applying of the dimension-reducing space-time process. 16. The method according to claim 13 , wherein the applying of the dimension-reducing space-time process starts before the preforming of the analog to digital conversion. 17. The method according to claim 1 , wherein the set of signals has a first number (N1) of real and imaginary parts of the received signals that were received at the multiple points in time; and wherein the method comprises multiplying the set of signals by the dimension reducing matrix to provide a reduced set of signals that has a second number (N2) of intermediate signals; wherein N1 exceeds N2; wherein the dimension reduction matrix has orthogonal rows. 18. The method according to claim 1 comprising applying a dimension reduction matrix the at a digital domain of the receiver. 19. The method according to claim 1 comprising applying a dimension reduction matrix the at an analog domain of the receiver. 20. The method according to claim 1 comprising estimating channels between a relay unit and the receiver to provide channel estimates; receiving, by the relay unit, intermediate signals that represent the signals that originated from the signal source; processing the intermediate signals based on the channel estimates to provide relay processed signals; and transmitting the relay processed signals to the receiver. 21. The method according to claim 20 wherein the multiple reception elements are multiple antennas; and wherein the estimating of the channels between the relay unit and the receiver comprises receiving from the multiple antennas and by the relay unit, a beacon signal of known parameters; and processing the beacon signal to estimate the channels between the relay unit and the receiver. 22. The method according to claim 1 comprising estimating channels between relay units and the receiver to provide channel estimates; receiving, by the relay units, intermediate signals that represent the signals that originated from the signal source; processing the intermediate signals based on the channel estimates to provide relay processed signals; and transmitting the relay processed signals to the receiver. 23. The method according to claim 22 comprising estimating by each relay unit the channel from itself to the destination. 24. The method according to claim 23 comprising estimating by each relay unit the channel from itself to the destination invoking the electromagnetic reciprocity principle by utilizing a beacon signal of known parameters. 25. The method according to claim 22 wherein following a processing by each relay unit, the channel between the relay units and the receiver, after applying the dimension reduction transformation, is represented by a scaled identity matrix. 26. A receiver, comprising: multiple reception elements that are configured to receive, received signals that are received with diversity and represent signals that originated from a signal source; and at least one processor that is configured to process the received signals to provide processed signals that are indicative of the signals that originated from the signal source; wherein the processing comprises performing a dimension-reducing process that is channel independent on a set of signals received at multiple points of time by each reception element of the multiple reception elements. 27. A non-transitory computer readable medium that stores instructions that once executed by a receiver causes the receiver to: receive, by multiple reception elements, received signals that are received with diversity and represent signals that originated from a signal source; and process, by at least one processor, the received signals to provide processed signals that are indicative of the signals that ori
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