|
|
|
|
|
Zhiqiang Liu, Yongqing Zhang, Weidong Wang, Xiangshui Li, Hui Li, Wentao Shi and Wasiq Ali
Recently, many direction-of-arrival (DOA) estimation techniques based on sparse representation have been proposed. However, these techniques often suffer from performance degradation issues in the presence of impulsive noise. This paper aims to overcome ...
ver más
|
|
|
|
|
|
|
|
|
Seung Gook Cha, Donghyun Kim and Young Joong Yoon
In this paper, a compact direction-finding system based on a deep neural network (DNN) with a single-patch multi-beam antenna is proposed. To achieve multiple beams, the patch is divided into four sectors by metal vias, and the pattern is tilted in the t...
ver más
|
|
|
|
|
|
|
|
|
Yan Wang, Lei Zhao, Longhao Qiu, Jinjin Wang and Chenmu Li
The underwater maneuvering platform generates self-noise when sailing, which shows spatial directionality to the arrays fixed on the platform. In this paper, it is called spatially colored noise (SCN). The direction of arrival (DOA) estimation results ar...
ver más
|
|
|
|
|
|
|
|
|
Euiho Shin, Young-seek Chung, Seonkyo Kim, Cheolsun Park and Jungsuek Oh
This study proposes broadband direction (DOA) estimation through discrete Fourier transform (DFT) extrapolation. We used DFT extrapolation in the lower band and extended the sampled data to reduce the beam width in the spectral domain and improved the ac...
ver más
|
|
|
|
|
|
|
|
|
Hongji Duan, Shuping Wang and Jiancheng Tao
Recent research shows that a directional quiet zone from near to far field can be created with a near-field microphone array. However, there is no systematic theoretical analysis of this error-sensing strategy. In this paper, an analytical model of the a...
ver más
|
|
|
|