# Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader

arXiv: https://arxiv.org/abs/1904.03458 · HTML: https://mlsanity.com/paper/1904.03458/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Apr 2019.

## Built on by (most cited first, 1 of 1)

- [Adversarial Score-Based Generative Models for MMSE-achieving AmBC Channel Estimation](https://mlsanity.com/paper/2309.05776/) (2023)

## Abstract (arXiv)

Ambient backscatter, an emerging green communication technology, has aroused great interest from both academia and industry. One open problem for ambient backscatter communication (AmBC) systems is channel estimation for a massive-antenna reader. In this paper, we focus on channel estimation problem in AmBC systems with uniform linear array (ULA) at the reader which consists of large number of antennas. We first design a two-step method to jointly estimate channel gains and direction of arrivals (DoAs), and then refine the estimates through angular rotation. Additionally, Cramer-Rao lower bounds (CRLBs) are derived for both the modulus of the channel gain and the DoA estimates. Simulations are then provided to validate the analysis, and to show the efficiency of the proposed approach.