Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar

被引:2
作者
Kim, Eunhee [1 ]
Sohn, Sunghwan [2 ]
Moon, Hyunwook [2 ]
Choi, Jun Hyeok [2 ]
Lee, Kiwon [2 ]
机构
[1] Sejong Univ, Dept Def Syst Engn, 209 Neungdong ro, Seoul 05006, South Korea
[2] LIGNex1 Co, 207 Mabuk ro, Yongin 16911, South Korea
关键词
MIMO; HF surface wave radar; orthogonal polyphase codes; virtual array antenna; MIMO RADAR; FORM;
D O I
10.3390/rs16010104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A high-frequency surface wave radar (HFSWR) is the only sensor that provides inexpensive surveillance for up to 200 nautical miles (NM) of the exclusive economic zone in the 3-5 MHz band. However, because of its long wavelength, its angular resolution is low. Multiple-input multiple-output (MIMO) technology is an attractive method to improve angular resolution. This paper proposes MIMO waveforms and their processing that can be used in HFSWR systems. This dual modulation method applies linear frequency modulation to each pulse and orthogonal polyphase codes for a few consecutive pulses to enable MIMO processing. The proposed method can effectively remove the correlation of mutual interference and exhibits excellent performance in removing multiple-time-around echoes.
引用
收藏
页数:18
相关论文
共 39 条
  • [31] Generalised two-level nested multiple-input multiple-output radar direction of arrival estimation with high degrees of freedom and low mutual coupling
    Qin, Cong
    Zhang, Qin
    Zheng, Guimei
    Zhang, Yule
    Wang, Shiqiang
    IET RADAR SONAR AND NAVIGATION, 2023, 17 (11) : 1688 - 1698
  • [32] Linear transceiver design with intercarrier interference reduction for multiple-input-multiple-output with orthogonal frequency division multiplexing systems
    Qian, Fengyong
    Leung, Shu-hung
    Mai, Ruikai
    Zhu, Yuesheng
    IET COMMUNICATIONS, 2014, 8 (08) : 1384 - 1392
  • [33] High-Performance Series-Fed Array Multiple-Input Multiple-Output Antenna for Millimeter-Wave 5G Networks
    Alsaab, Nabeel
    Alhassoon, Khaled
    Alsaleem, Fahd
    Alsunaydih, Fahad Nasser
    Madbouly, Sayed O.
    Khaleel, Sherif A.
    Ameen, Allam M.
    Shaban, Mahmoud
    SENSORS, 2025, 25 (04)
  • [34] Closed-form expression of long-range modulated massive multiple-input multiple-output fractional Fourier transform-orthogonal frequency division multiplexing system under two-wave with diffuse power fading channel
    Chawla, Tanvi
    Kansal, Ankush
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2024, 37 (02)
  • [35] High-resolution angle estimation method in partly calibrated subarray-based bistatic multiple-input multiple-output radar with unknown non-uniform noise
    Hu, Jurong
    Baidoo, Evans
    Bao, Zeng
    IET RADAR SONAR AND NAVIGATION, 2022, 16 (04) : 704 - 719
  • [36] Multi-user transmitter preprocessing assisted uplink multi-cell multiple-input multiple-output system with base station cooperation over frequency-selective channels
    Nagaradjane, Prabagarane
    Muralidharan, Prasaanth
    Sarathy, Sabarish Karthik Vivek
    Rajan, Yuvika Ashwina
    Swaminathan, Shriram
    COMPUTERS & ELECTRICAL ENGINEERING, 2013, 39 (03) : 1016 - 1025
  • [37] Using alpha-phase modulation method to solve range ambiguity for high frequency surface wave radar
    Zhao, Mengxiao
    Zhang, Xin
    Yang, Qiang
    Dong, Yingning
    DIGITAL SIGNAL PROCESSING, 2018, 83 : 139 - 147
  • [38] A Novel Method for 5Generation Multiple-Input, Multiple-Output Orthogonal Frequency-Division Multiplexing using Cauchy Evading Golden Tortoise Adaptive-Bi Directional-Long Short-Term Memory
    Ramamoorthy, Poornima
    Ramanathan, Kalaivani
    INFORMACIJE MIDEM-JOURNAL OF MICROELECTRONICS ELECTRONIC COMPONENTS AND MATERIALS, 2024, 54 (03):
  • [39] Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks
    Zhou, Xiaoping
    Feng, Pengyan
    Li, Jiehui
    Chen, Jiajia
    Wang, Yang
    PHOTONICS, 2023, 10 (11)