Cross-Validated Tuning of Shrinkage Factors for MVDR Beamforming Based on Regularized Covariance Matrix Estimation

no code implementations • 5 Apr 2021 • Lei Xie, Zishu He, Jun Tong, Jun Li, Jiangtao Xi

We propose leave-one-out cross-validation (LOOCV) choices for the shrinkage factors to optimize the beamforming performance, referred to as $\text{S}^2$CM-CV and STE-CV.

Regularized Covariance Estimation for Polarization Radar Detection in Compound Gaussian Sea Clutter

no code implementations • 17 Mar 2021 • Lei Xie, Zishu He, Jun Tong, Tianle Liu, Jun Li, Jiangtao Xi

This paper investigates regularized estimation of Kronecker-structured covariance matrices (CM) for polarization radar in sea clutter scenarios where the data are assumed to follow the complex, elliptically symmetric (CES) distributions with a Kronecker-structured CM.

A hybrid model based on CNN and Bi-LSTM for urban water demand prediction

no code implementations • 2019 IEEE Congress on Evolutionary Computation (CEC) 2019 • Piao Hu, Jun Tong, Jingcheng Wang, Yue Yang, Luca de Oliveira Turci

The training time of CNN-Bi-LSTM is less than LSTM, Bi-LSTM, CNN, and CNN-LSTM, but larger than SAEs.

Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs

1 code implementation • 3 Jun 2019 • Jiang Zhu, Chao-Kai Wen, Jun Tong, Chongbin Xu, Shi Jin

Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) system.

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