Neural network based line of sight detection and angle estimation for positioning
Techniques are provide for neural network based positioning of a mobile device. An example method for measuring a channel in a wireless communication system includes: receiving reference signal information; determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses; determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses; processing the one or more channel impulse responses with a neural network; and determining an output of the neural network.
1. A method for measuring a channel in a wireless communication system, comprising:
receiving reference signal information;
determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses, wherein the one or more timing hypotheses correspond to one or more respective periods within a timing window for receiving the reference signal information;
determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses;
processing the one or more channel impulse responses with a neural network; and
determining an output of the neural network.
2. The method of claim 1 wherein the output of the neural network is at least one of a line of sight delay, an angle of arrival, or an angle of departure value.
3. The method of claim 1 wherein the output of the neural network is based on receiving the reference signal information via a line of sight path or a non-line of sight path.
4. The method of claim 1 wherein the reference signal information is at least one of a synchronization signal block (SSB), a channel state information reference signal (CSI-RS), a positioning reference signal (PRS), a sounding reference signal (SRS), a tracking reference signal (TRS), a demodulation reference signal (DMRS), and a physical random access channel (PRACH) signal.
5. The method of claim 1 wherein a spacing between each of the one or more timing hypotheses is within a cyclic prefix associated with the reference signal information.
6. The method of claim 1 wherein determining the channel impulse response for each of the one or more channel frequency responses includes transforming each of the one or more channel frequency responses with a window function.
7. An apparatus, comprising:
a memory;
at least one transceiver;
at least one processor communicatively coupled to the memory and the at least one transceiver and configured to:
receive reference signal information;
determine one or more channel frequency responses based on the reference signal information and one or more timing hypotheses, wherein the one or more timing hypotheses correspond to one or more respective periods within a timing window for receiving the reference signal information;
determine one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses;
process the one or more channel impulse responses with a neural network; and
determine an output of the neural network.
8. The apparatus of claim 7 wherein the output of the neural network is at least one of a line of sight delay, an angle of arrival, or an angle of departure value.
9. The apparatus of claim 7 wherein the output of the neural network is based on receiving the reference signal information via a line of sight path or a non-line of sight path.
10. The apparatus of claim 7 wherein the reference signal information is at least one of a synchronization signal block (SSB), a channel state information reference signal (CSI-RS), a positioning reference signal (PRS), a sounding reference signal (SRS), a tracking reference signal (TRS), a demodulation reference signal (DMRS), and a physical random access channel (PRACH) signal.
11. The apparatus of claim 7 wherein a spacing between each of the one or more timing hypotheses is within a cyclic prefix associated with the reference signal information.
12. The apparatus of claim 7 wherein the at least one processor is further configured to transform each of the one or more channel frequency responses with a window function.
13. An apparatus for measuring a channel in a wireless communication system, comprising:
means for receiving reference signal information;
means for determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses, wherein the one or more timing hypotheses correspond to one or more respective periods within a timing window for receiving the reference signal information;
means for determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses;
means for processing the one or more channel impulse responses with a neural network; and
means for determining an output of the neural network.
14. The apparatus of claim 13 wherein the output of the neural network is at least one of a line of sight delay, an angle of arrival, or an angle of departure value.
15. The apparatus of claim 13 wherein the output of the neural network is based on receiving the reference signal information via a line of sight path or a non-line of sight path.
16. The apparatus of claim 13 wherein the reference signal information is at least one of a synchronization signal block (SSB), a channel state information reference signal (CSI-RS), a positioning reference signal (PRS), a sounding reference signal (SRS), a tracking reference signal (TRS), a demodulation reference signal (DMRS), and a physical random access channel (PRACH) signal.
17. The apparatus of claim 13 wherein a spacing between each of the one or more timing hypotheses is within a cyclic prefix associated with the reference signal information.
18. The apparatus of claim 13 wherein the means for determining the channel impulse response for each of the one or more channel frequency responses includes means for transforming each of the one or more channel frequency responses with a window function.
19. A non-transitory processor-readable storage medium comprising processor-readable instructions configured to measure a channel in a wireless communication system, comprising code for:
receiving reference signal information;
determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses wherein the one or more timing hypotheses correspond to one or more respective periods within a timing window for receiving the reference signal information;
determining one or more channel impulse responses comprising a channel impulse response for each of the one or more channel frequency responses;
processing the one or more channel impulse responses with a neural network; and
determining an output of the neural network.
20. The non-transitory processor-readable storage medium of claim 19 wherein the output of the neural network is at least one of a line of sight delay, an angle of arrival, or an angle of departure value.
21. The non-transitory processor-readable storage medium of claim 19 wherein the output of the neural network is based on receiving the reference signal information via a line of sight path or a non-line of sight path.
22. The non-transitory processor-readable storage medium of claim 19 wherein the reference signal information is at least one of a synchronization signal block (SSB), a channel state information reference signal (CSI-RS), a positioning reference signal (PRS), a sounding reference signal (SRS), a tracking reference signal (TRS), a demodulation reference signal (DMRS), and a physical random access channel (PRACH) signal.
23. The non-transitory processor-readable storage medium of claim 19 wherein a spacing between each of the one or more timing hypotheses is within a cyclic prefix associated with the reference signal information.
24. The non-transitory processor-readable storage medium of claim 19 wherein the code for determining the channel impulse response for each of the one or more channel frequency responses includes code for transforming each of the one or more channel frequency responses with a window function.