Channel Estimation for Hybrid MIMO Communication with (Non-)Uniform Linear Arrays via Tensor Decomposition
ID:98 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:358 Oral Presentation

Start Time:2020-06-08 15:20(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS04Structured Tensor And Matrix Methods For Sensing, Communications, And Machine Learning

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
This paper considers the problem of channel estimation for millimeter wave wireless communication channels. Many existing channel estimation approaches utilize the spatial sparsity of mmWave channels and employ compressive sensing based techniques to estimate the parameters of the channel, such as the Angles of Arrival (AoA) and Angles of Departure (AoD) of the channel paths. In this paper, we show how the problem of channel estimation can be converted into a fourth order tensor decomposition problem, which offers several benefits. Firstly, we do not need a grid-based search for the angles. More importantly, our algorithm is applicable for both uniform and non-uniform arrays at the transmitter and receiver. In particular, our method can exploit well-known benefits offered by the difference co-array of suitably designed sparse arrays and provably identify a larger number of channel paths compared to existing approaches.
Keywords
Speaker
Ali Koochakzadeh
University of California, San Diego, USA

Submission Author
Ali Koochakzadeh University of California, San Diego, USA
Piya Pal University of California, San Diego, USA
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Contact Information