• Laser & Optoelectronics Progress
  • Vol. 59, Issue 13, 1307003 (2022)
Zihang Zhao1, Zhenbin Gao1、*, Zhuangzhi Han2, and Qi Li1
Author Affiliations
  • 1School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2Department of Electronic and Optical Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, Hebei , China
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    DOI: 10.3788/LOP202259.1307003 Cite this Article Set citation alerts
    Zihang Zhao, Zhenbin Gao, Zhuangzhi Han, Qi Li. Orthogonal Waveform Design for MIMO Radar Based on Improved Salp Swarm Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1307003 Copy Citation Text show less
    Signal auto-correlation function. (a) Signal 1; (b) signal 2; (c) signal 3; (d) signal 4
    Fig. 1. Signal auto-correlation function. (a) Signal 1; (b) signal 2; (c) signal 3; (d) signal 4
    Signal cross-correlation function. (a) Signals 1, 2; (b) signals 1, 3; (c) signals 1, 4; (d) signals 2, 3; (e) signals 2, 4; (f) signals 3, 4
    Fig. 2. Signal cross-correlation function. (a) Signals 1, 2; (b) signals 1, 3; (c) signals 1, 4; (d) signals 2, 3; (e) signals 2, 4; (f) signals 3, 4
    Average ASP and average CP change curves. (a) Average ASP; (b) average CP
    Fig. 3. Average ASP and average CP change curves. (a) Average ASP; (b) average CP
    Wave phase
    Signal 1:4.80174.37565.45211.48062.12352.1287
    2.68493.54615.61321.89541.62593.84193.5944
    1.61642.38214.81262.63072.73730.93154.8750
    6.14954.40694.47890.95445.95455.25852.2782
    5.53055.10210.43772.93515.75222.87932.3666
    1.17702.62760.42665.10312.35515.2516
    Signal 2:5.33512.97634.70964.53375.86805.0829
    1.76255.78100.78400.74874.56833.62512.6678
    4.81554.17482.99684.50753.06191.17981.9551
    3.90213.59074.85742.31060.83103.71676.1321
    4.41914.12042.85580.88421.89055.13921.3702
    5.07595.34742.66713.45074.98506.0398
    Signal 3:2.07570.25253.23785.82076.07274.8974
    2.61432.02861.92311.70610.08542.52571.0259
    0.66770.46902.58150.50160.57695.69493.3971
    4.32780.45655.31422.54790.17192.25963.4097
    5.95451.94662.83012.56073.05475.44733.4850
    4.68965.00780.23100.28562.48755.1640
    Signal 4:2.74232.25623.14325.25365.44293.2416
    2.20352.11812.56061.75353.43374.52391.9307
    0.19533.57823.52101.57573.75380.47933.4108
    6.26695.64582.97245.68852.12643.39703.0313
    1.08662.35325.71173.86546.28195.38775.4843
    0.83103.25595.16895.32662.60172.3232
    Table 1. Phase encoding table of the designed waveform
    Sequence number of signalSignal 1Signal 2Signal 3Signal 4
    Signal 10.11230.18320.18460.1953
    Signal 20.18320.11020.18500.2102
    Signal 30.18460.18500.10810.2127
    Signal 40.19530.21020.21270.1042
    Table 2. ASP and CP of the waveforms
    MethodAverage ASPMax ASPAverage CPMax CP
    Method of Ref.[140.13770.14740.20600.2264
    Method of Ref.[150.16620.19240.21310.2305
    Method of Ref.[180.14430.15210.19660.2151
    Method of Ref.[190.12930.13460.20680.2305
    Improved SSA0.10920.11230.19520.2127
    Table 3. Comparison of results from improved SSA with results from other’s methods
    Zihang Zhao, Zhenbin Gao, Zhuangzhi Han, Qi Li. Orthogonal Waveform Design for MIMO Radar Based on Improved Salp Swarm Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1307003
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