Parallel shift estimation for los mimo communication
US-2024106503-A1 · Mar 28, 2024 · US
US9553363B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9553363-B2 |
| Application number | US-201414313065-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 24, 2014 |
| Priority date | Jun 24, 2014 |
| Publication date | Jan 24, 2017 |
| Grant date | Jan 24, 2017 |
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A method for optimizing a phased array antenna. A predicted future health state for elements in the phased array antenna is identified. A configuration for the elements to use a radiation pattern based on the predicted future health state for the elements taking into account potential degradation of a group of the elements in the predicted future health state is also identified.
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What is claimed is: 1. An apparatus comprising: a phased array antenna that comprises elements; a phased array antenna optimizer configured to identify a predicted health state that comprises a predicted degradation, during a mission, of at least one of: a transmission of a first radiation signal, and a reception of a second radiation signal, of the elements in the phased array antenna and identify a configuration that optimizes the elements activated by a controller configured to generate a radiation pattern based on the predicted health state for the elements based upon the predicted degradation of the elements, such that the configuration is based upon a cost function based upon the predicted degradation. 2. The apparatus of claim 1 , further comprising the phased array antenna optimizer configured to take into account a combination of predicted degradations of the elements. 3. The apparatus of claim 1 , wherein the cost function is selected from one of a maximum side lobe level, an average side lobe level, a cumulative difference, a beam width, or a pointing accuracy. 4. The apparatus of claim 1 , wherein the phased array antenna optimizer optimizes the configuration of the elements based on both a current health state and the predicted health state for the elements taking into account the predicted degradation of the elements using the cost function. 5. The apparatus of claim 1 , wherein particle swarm optimization is used to evaluate the cost function. 6. The apparatus of claim 1 , wherein in configuring the elements, the phased array antenna optimizer generates a data structure containing the configuration for the elements to use the radiation pattern based on the predicted health state for the elements taking into account the predicted degradation of the the elements in the predicted health state and sends the data structure to a controller for the phased array antenna. 7. The apparatus of claim 1 , wherein the predicted health state is for a period of time during which the phased array antenna is expected to be in use. 8. A phased array antenna comprising: elements in the phased array antenna; and a controller configured to operate the elements to use a radiation pattern based on a predicted health state, during a mission, for the elements that comprises a predicted degradation of at least one of: a transmission of a first radiation signal, and a reception of a second radiation signal, by a group of the elements, such that the radiation pattern is based upon a cost function based upon the predicted degradation. 9. The phased array antenna of claim 8 , wherein the predicted health state is for a period of time during which the phased array antenna is expected to be in use. 10. A method for optimizing a phased array antenna, the method comprising: identifying a predicted health state, during a mission, comprising a predicted degradation of at least one of: transmitting a first radiation signal, and receiving of a second radiation signal, via elements in the phased array antenna; and optimizing, using a phased array optimizer using the predicted health state and a cost function, activating, using a controller, a configuration for the elements to use a radiation pattern. 11. The method of claim 10 , wherein the predicted degradation of the elements takes into account a combination of predicted degradations of the elements. 12. The method of claim 10 , wherein the cost function is selected from one of a maximum side lobe level, an average side lobe level, a cumulative difference, a beam width, or a pointing accuracy. 13. The method of claim 10 , wherein the configuration of the elements is optimized based on both a current health state and the predicted health state for the elements taking into account the predicted degradation of the elements using the cost function. 14. The method of claim 10 , wherein particle swarm optimization is used to evaluate the cost function. 15. The method of claim 10 , further comprising: generating a data structure containing the configuration for the elements to use the radiation pattern based on the predicted health state for the elements taking into account the predicted degradation of the elements in the predicted health state; and sending the data structure to a controller for the phased array antenna. 16. The method of claim 10 , wherein the predicted health state is for a period of time during which the phased array antenna is expected to be in use.
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