Shaohua Hu, Jing Zhang, Qun Liu, Linchangchun Bai, Xingwen Yi, Bo Xu, Kun Qiu. Impacts of the measurement equation modification of the adaptive Kalman filter on joint polarization and laser phase noise tracking[J]. Chinese Optics Letters, 2022, 20(2): 020603
- Chinese Optics Letters
- Vol. 20, Issue 2, 020603 (2022)
Fig. 1. Measurement residuals of CKF and MKF.
Fig. 2. Equalization model and state estimation process of MKF.
Fig. 3. (a) Variance of process noise versus the measurement error; (b) variance of measurement noise versus the process noise.
Fig. 4. Variance rate of measurement errors versus SNR.
Fig. 5. BER of the recovered signal versus OSNR. The scrambling rate is (a) 10 MHz and (b) 20 MHz. The reference curves (gray dashed lines) are under the back-to-back (B2B) case without RSOP.
Fig. 6. (a) Signal qualities versus scrambling rates at the OSNR of 24 dB; (b) signal qualities versus scrambling rates at the OSNR of 20 dB.
Fig. 7. Initialization tolerance of Q/R parameter for linear CKF and MKF at the OSNR of 30 dB and 10 MHz scrambling rate. (a) CKF without Q/R adaptive algorithm; (b) CKF with Q/R adaptive algorithm; (c) MKF without Q/R adaptive algorithm; (d) MKF with Q/R adaptive algorithm.
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Table 1. Simulation Parameter Setup
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Table 2. Performance Comparison for Kalman Filters
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