no code implementations • 15 Jan 2023 • YiWen Chen, Xichao Zhan, Feng Shu
Massive multiple input multiple output(MIMO)-based fully-digital receive antenna arrays bring huge amount of complexity to both traditional direction of arrival(DOA) estimation algorithms and neural network training, which is difficult to satisfy high-precision and low-latency applications in future wireless communications.
no code implementations • 27 Apr 2022 • Xichao Zhan, YiWen Chen, Feng Shu, Xin Cheng, Yuanyuan Wu, Qi Zhang, Yifang Li, Peng Zhang
In the proposed Max-RP-QI, a quadratic interpolation scheme is adopted to interpolate the three DOA values corresponding to the largest three receive powers of Max-RP.
no code implementations • 20 Apr 2022 • YiWen Chen, Xichao Zhan, Feng Shu, Qijuan Jie, Xin Cheng, Zhihong Zhuang, Jiangzhou Wang
Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity.
no code implementations • 3 Aug 2021 • Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, YiFan Li, Jiangzhou Wang
The test statistic (TS) of the first method is defined as the ratio of maximum eigen-value (Max-EV) to minimum eigen-value (R-MaxEV-MinEV) while that of the second one is defined as the ratio of Max-EV to noise variance (R-MaxEV-NV).
