Compressive narrowband interference detection and parameter estimation in direct sequence spread spectrum communication
Abstract The Shannon‐Nyquist sampling theorem that is based on narrowband interference (NBI) detection and parameter estimation methods in direct sequence spread spectrum (DSSS) communication is limited by the high sampling rate. Compressive sensing (CS) is adopted to address the problem. But it wil...
Saved in:
Main Authors: | Zengkai Shi, Yongshun Zhang, Zhaoyong Qian, Xiaoshuang Sun, Xiangtai Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-02-01
|
Series: | IET Signal Processing |
Online Access: | https://doi.org/10.1049/sil2.12075 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Noise immunity of QAM-OFDM signal reception using soft-decision demodulation in the presence of narrowband interference
by: A. A. Paramonov, et al.
Published: (2024-10-01) -
Narrowband-to-Narrowband Frequency Reconfiguration with Harmonic Suppression Using Fractal Dipole Antenna
by: S. A. Hamzah, et al.
Published: (2013-01-01) -
Blind despreading and deconvolution of asynchronous multiuser direct sequence spread spectrum signals under multipath channels
by: Liangliang Li, et al.
Published: (2023-05-01) -
Research on Improvement of Spectrum Efficiency of Spread Spectrum OFDM Communication Scheme for Cruising Sensor Network
by: Yuan Wang, et al.
Published: (2014-11-01) -
Efficient Narrowband Direction of Arrival Estimation Based on a Combination of Uniform Linear/Shirvani-Akbari Arrays
by: Shahriar Shirvani Moghaddam, et al.
Published: (2012-01-01)