[1] Ma C, Gu H, Su W, et al.Focusing bi-static forward-looking synthetic aperture radar based on modified Loffeld’s bi-static formula and chirp scaling algorithm[J]. Journal of Applied Remote Sensing (S1931-3195), 2014, 8(1): 083586. [2] Chen S, Yuan Y, Zhang S, et al.A New Imaging Algorithm for Forward-Looking Missile-borne Bi-static SAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (S1939-1404), 2016, 9(4): 1543-1552. [3] Antoniou M, Zhou H, Zeng Z, et al.Passive bistatic synthetic aperture radar imaging with Galileo transmitters and a moving receiver: experimental demonstration[J]. IET Radar, Sonar and Navigation (S1939-1404), 2013, 7(9): 985-993. [4] Yan F, Chang W, Li X.Rapid raw data simulation for fixed-receiver bistatic interometric synthetic aperture radar[J]. Journal of Applied Remote Sensing (S1931-3195), 2016, 10(3): 036001. [5] Xie H, Shi S, Xiao H, et al.Efficient Time-Domain Imaging Processing for One-Stationary Bi-static Forward-Looking SAR Including Motion Errors[J]. Sensors (S1424-8220), 2016, 16(11): 1907. [6] Pu W, Huang Y, Wu J, et al.A residual range cell migration correction algorithm for bi-static forward-looking SAR[J]. EURASIP Journal on Advances in Signal Processing (S1939-1404), 2016, 2016(1): 110. [7] Pu W, Wu J, Huang Y, et al.Motion Errors and Compensation for Bi-static Forward-Looking SAR With Cubic-Order Processing[J]. IEEE Transactions on Geo-science and Remote Sensing (S1687-6180), 2016, 54(12): 6940-6957. [8] Li Z, Wu J, Huang Y, et al.Ground-Moving Target Imaging and Velocity Estimation Based on Mismatched Compression for Bi-static Forward-Looking SAR[J]. IEEE Transactions on Geosciences And Remote Sensing (S0196-2892), 2016, 54(6): 3277-3291. [9] Wu J, Sun Z, Li Z, et al.Focusing Translational Variant Bi-static Forward-looking SAR Using Keystone Transform and Extended Nonlinear Chirp Scaling[J]. Remote Sensing (S2072-4292), 2016, 8(10): 840. [10] Li Z, Wu J, Huang Y, et al.An Adaptive Moving Target Imaging Method for Bi-static Forward-looking SAR Using Keystone Transform and Optimization NLCS[J]. Sensors (S1424-8220), 2017, 17(1), 216. [11] Wu Y, Zhu F, Song C.Optimal discretization of feedback control in missile formation[J]. Aerospace Science and Technology (S1270-9638), 2017, 67: 456-472. [12] Chemali E, Kollmeyer P J, Preindl M, et al.Long short-term memory networks for accurate state-of-charge estimation of Li-ion batteries[J]. IEEE Transactions on Industrial Electronics (S0278-0046), 2018, 65(8): 6730-6739. [13] Zhang D, Lindholm G, Ratnaweera H.Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring[J]. Journal of hydrology (S0022-1694), 2018, 556: 409-418. [14] Ordóñez F, Roggen D.Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition[J]. Sensors (S1424-8220), 2016, 16(1): 115. |