The Journal of Engineering | |
Method to suppress narrowband interference for OFDM radar | |
Gong Zhang1  Yu Zhang1  Xinhai Wang1  Henry Leung2  Fangqing Wen3  | |
[1] Nanjing University of Aeronautics and Astronautics;University of Calgary;Yangtze University; | |
关键词: radar signal processing; interference suppression; frequency estimation; ofdm modulation; narrowband interference; bandwidth ofdm radar; comparably short duration; ofdm symbols; interference suppression; atomic norm minimisation method; atomic norm soft-thresholding method; orthogonal frequency division multiplexing; popular modulation technique; communication systems; radar signals; joint radar; communication system; ofdm system; radar functionality; typical radar signal; frequency-modulated continuous wave; | |
DOI : 10.1049/joe.2019.0751 | |
来源: DOAJ |
【 摘 要 】
Orthogonal frequency division multiplexing which is called OFDM for short is not only a popular modulation technique in communication systems but also a good method to generate radar signals. A joint radar and communication system could be realised by an OFDM system according to some off-the-shelf works. The radar functionality is mainly considered here, which requires the system to equip with the ability to suppress interference. The typical radar signal, frequency-modulated continuous wave, can be viewed as narrowband interference for a large bandwidth OFDM radar with comparably short duration of OFDM symbols. Here, an interference suppression algorithm suitable for any type of narrowband interference is proposed for OFDM radar. The atomic norm minimisation (ANM) method involved in compressed sensing is introduced to obviate the interference. Then, the data with little interference can be reconstructed by reformulating the ANM as a semi-definite program. Meanwhile, the level of noise is quelled effectively in terms of the atomic norm soft-thresholding method and the gridless version of SPICE. Finally, the numerical simulation is performed to verify the effectiveness of the proposed method.
【 授权许可】
Unknown