Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss
In this paper, we aim at the problem that MIMO radar’s target detection performance is greatly reduced in the complex multi-signal-dependent interferences environment. We propose a joint design method based on semidefinite relaxation (SDR), fractional programming and randomization technique (JD-SFR)...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/11/3887 |
| _version_ | 1797531401358147584 |
|---|---|
| author | Liang Huang Xiaofang Deng Lin Zheng Huiping Qin Hongbing Qiu |
| author_facet | Liang Huang Xiaofang Deng Lin Zheng Huiping Qin Hongbing Qiu |
| author_sort | Liang Huang |
| collection | DOAJ |
| description | In this paper, we aim at the problem that MIMO radar’s target detection performance is greatly reduced in the complex multi-signal-dependent interferences environment. We propose a joint design method based on semidefinite relaxation (SDR), fractional programming and randomization technique (JD-SFR) and a joint design method based on coordinate descent (JD-CD) to solve the actual transmit waveform and receive filter bank directly to reduce the loss of strong interference to the output signal-to-interference-plus-noise ratio (SINR) of the radar system. Therefore, the maximization of output SINR is taken as the criterion of the optimization problem. The designed waveforms take into account the radar transmitter’s hardware requirements for constant envelope waveforms and impose similarity constraints on the waveforms. JD-SFR uses SDR, fractional programming and randomization technique to deal with the non-convex optimization problems encountered in the solution process. JD-CD transforms the optimization problem into a function of the phase of the waveform and then solves the transmit waveform based on CD. Compared with other methods, the proposed method has lower output SINR loss under strong power interference and forms deep nulls on the direction beampattern of multiple interference sources, which indicates that it has better anti-interference performance. |
| first_indexed | 2024-03-10T10:43:16Z |
| format | Article |
| id | doaj.art-c6f33dda42a74c7e85cf717a9aea53a1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:43:16Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c6f33dda42a74c7e85cf717a9aea53a12023-11-21T22:49:33ZengMDPI AGSensors1424-82202021-06-012111388710.3390/s21113887Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR LossLiang Huang0Xiaofang Deng1Lin Zheng2Huiping Qin3Hongbing Qiu4School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaCognitive Radio and Information Processing Key Laboratory Authorized by China’s Ministry of Education Foundation, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaIn this paper, we aim at the problem that MIMO radar’s target detection performance is greatly reduced in the complex multi-signal-dependent interferences environment. We propose a joint design method based on semidefinite relaxation (SDR), fractional programming and randomization technique (JD-SFR) and a joint design method based on coordinate descent (JD-CD) to solve the actual transmit waveform and receive filter bank directly to reduce the loss of strong interference to the output signal-to-interference-plus-noise ratio (SINR) of the radar system. Therefore, the maximization of output SINR is taken as the criterion of the optimization problem. The designed waveforms take into account the radar transmitter’s hardware requirements for constant envelope waveforms and impose similarity constraints on the waveforms. JD-SFR uses SDR, fractional programming and randomization technique to deal with the non-convex optimization problems encountered in the solution process. JD-CD transforms the optimization problem into a function of the phase of the waveform and then solves the transmit waveform based on CD. Compared with other methods, the proposed method has lower output SINR loss under strong power interference and forms deep nulls on the direction beampattern of multiple interference sources, which indicates that it has better anti-interference performance.https://www.mdpi.com/1424-8220/21/11/3887colocated MIMO radarconstant envelope waveform designreceive filterSINRsemidefinite programmingcoordinate descent |
| spellingShingle | Liang Huang Xiaofang Deng Lin Zheng Huiping Qin Hongbing Qiu Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss Sensors colocated MIMO radar constant envelope waveform design receive filter SINR semidefinite programming coordinate descent |
| title | Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss |
| title_full | Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss |
| title_fullStr | Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss |
| title_full_unstemmed | Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss |
| title_short | Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss |
| title_sort | joint design of colocated mimo radar constant envelope waveform and receive filter to reduce sinr loss |
| topic | colocated MIMO radar constant envelope waveform design receive filter SINR semidefinite programming coordinate descent |
| url | https://www.mdpi.com/1424-8220/21/11/3887 |
| work_keys_str_mv | AT lianghuang jointdesignofcolocatedmimoradarconstantenvelopewaveformandreceivefiltertoreducesinrloss AT xiaofangdeng jointdesignofcolocatedmimoradarconstantenvelopewaveformandreceivefiltertoreducesinrloss AT linzheng jointdesignofcolocatedmimoradarconstantenvelopewaveformandreceivefiltertoreducesinrloss AT huipingqin jointdesignofcolocatedmimoradarconstantenvelopewaveformandreceivefiltertoreducesinrloss AT hongbingqiu jointdesignofcolocatedmimoradarconstantenvelopewaveformandreceivefiltertoreducesinrloss |