| Paper ID | SPCOM-4.2 |
| Paper Title |
MILLIMETER WAVE MIMO CHANNEL ESTIMATION WITH 1-BIT SPATIAL SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS |
| Authors |
R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bangalore, India |
| Session | SPCOM-4: Channel Estimation for MIMO and Multiuser Systems |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation |
Poster
|
| Topic |
Signal Processing for Communications and Networking: [SPC-CHAN] Channel modelling and estimation |
| IEEE Xplore Open Preview |
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| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
This paper focuses on channel estimation for mmWave MIMO systems with 1-bit spatial sigma-delta analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). The channel estimation performance with 1-bit spatial sigma-delta modulators (i.e., ADCs or DACs) depends on the quantization noise modeling. Therefore, we present a new method for modeling the quantization noise by leveraging the deterministic input-output relation of the 1-bit spatial sigma-delta modulator. Using this new noise model, we propose a channel estimation algorithm for a narrowband single-user mmWave line-of-sight MIMO system by determining the unknown angles and path attenuation that characterize the flat-fading channel. Through simulations, we demonstrate that the performance of the developed method is comparable to the traditional unquantized system and significantly better than the conventional 1-bit quantized system. |
