Channel acquisition using orthogonal time frequency space modulated pilot signals
Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.
1. A wireless communication method for recovering information bits from a received signal, implemented by a wireless communication receiver, comprising:
receiving a wireless signal comprising a data signal portion and a pilot signal portion wherein the pilot signal portion includes multiple pilot signals multiplexed together in an orthogonal time frequency space (OTFS) domain;
performing two-dimensional channel estimation in a delay-Doppler domain based on an optimization criterion; and
recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.
2. The method of claim 1 , wherein the performing the two-dimensional channel estimation includes:
identifying a subset of the pilot signal portion from which to obtain a preliminary channel estimate in the delay-Doppler domain;
estimating, using samples of the wireless signal received within a two-dimensional observation window, the preliminary channel estimate; and
obtaining the channel estimate by interpolating and/or predicting the preliminary channel estimate.
3. The method of claim 2 , wherein the preliminary channel estimate is estimated using all samples of the wireless signal.
4. The method of claim 2 , wherein the preliminary channel estimate is estimated using a subset of samples corresponding to less than all the samples of the wireless signal, depending on the preliminary channel estimate.
5. The method of claim 2 , wherein estimating operation includes calculating a finite impulse response (FIR) Wiener filter estimate using the subset of the pilot signal portion.
6. The method of claim 1 , wherein the optimization criterion comprises a minimum mean square error (MMSE) optimization criterion.
7. The method of claim 1 , wherein the optimization criterion is based on a two-dimensional spline function.
8. A wireless communication apparatus comprising a processor, wherein the processor is configured to implement a wireless communication reception method, the method comprising:
receiving a wireless signal comprising a data signal portion and a pilot signal portion, wherein the pilot signal portion includes multiple pilot signals multiplexed together in an orthogonal time frequency space (OTFS) domain;
performing two-dimensional channel estimation in a delay-Doppler domain based on an optimization criterion; and
performing information bit recovery using a channel estimate obtained from the two-dimensional channel estimation.
9. The apparatus of claim 8 , wherein the processor is configured, as part of the estimating the two-dimensional channel estimation, to:
identify a subset of the pilot signal portion from which to obtain a preliminary channel estimate in the delay-Doppler domain;
estimate, using samples of the wireless signal received within a two-dimensional observation window, the preliminary channel estimate; and
obtain the channel estimate by interpolating and/or predicting the preliminary channel estimate.
10. The apparatus of claim 9 , wherein the processor is configured, as part of the estimating the preliminary channel estimate, to:
estimate the preliminary channel using all the samples of the wireless signal.
11. The apparatus of claim 9 , wherein the preliminary channel estimate is estimated using a subset of samples corresponding to less than all the samples of the wireless signal, depending on the preliminary channel estimate.
12. The apparatus of claim 9 , wherein estimating operation includes calculating a finite impulse response (FIR) Wiener filter estimate using the subset of the pilot signal portion.
13. The apparatus of claim 8 , wherein the optimization criterion comprises a minimum mean square error (MMSE) optimization criterion.
14. The apparatus of claim 8 , wherein the optimization criterion is based on a two-dimensional spline function.
15. A wireless communication method for recovering information bits from a received signal, implemented by a wireless communication receiver, comprising:
receiving a wireless signal comprising a data signal portion and a pilot signal portion wherein the pilot signal portion includes multiple pilot signals multiplexed together in an orthogonal time frequency space (OTFS) domain;
performing two-dimensional channel estimation in a time-delay domain based on an optimization criterion; and
recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.
16. The method of claim 15 , wherein the performing the two-dimensional channel estimation includes:
identifying a subset of the pilot signal portion from which to obtain a preliminary channel estimate in the time-delay domain;
estimating, using samples of the wireless signal received within a two-dimensional observation window, the preliminary channel estimate; and
obtaining the channel estimate by interpolating and/or predicting the preliminary channel estimate.
17. The method of claim 16 , wherein the preliminary channel estimate is estimated using all the samples of the wireless signal.
18. The method of claim 16 , wherein the preliminary channel estimate is estimated using a subset of samples corresponding to less than all the samples of the wireless signal, depending on the preliminary channel estimate.
19. The method of claim 16 , wherein estimating operation includes calculating a finite impulse response (FIR) Wiener filter estimate using the subset of the pilot signal portion.
20. The method of claim 15 , wherein the optimization criterion comprises a minimum mean square error (MMSE) optimization criterion or a two-dimensional spline function.