Channel Estimation for Movable-Antenna MIMO Systems via Tensor Decomposition

In this letter, we investigate the channel estimation problem for MIMO wireless communication systems with movable antennas (MAs) at both the transmitter (Tx) and receiver (Rx). To achieve high channel estimation accuracy with low pilot training overhead, we propose a tensor decomposition-based method for estimating the parameters of multi-path channel components, thereby reconstructing the wireless channel between any pair of Tx and Rx MA positions in the Tx and Rx regions. First, we introduce a two-stage Tx-Rx successive antenna movement pattern for pilot training. Then, we obtain the factor matrices of the tensor via the canonical polyadic decomposition, and thereby estimate the angle/gain parameters for…

• NN
  National Natural Science Foundation of China

  Awards: 62171464, 62171461, 62201266, 62371418
• GO
  Government of Jiangsu Province
• NS
  Natural Science Foundation of Jiangsu Province

  Award: BK20210335