Liu Jun
Associate professor
Degree:Dr
Paper Publications
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[31] 93. Zeyu Wang, Jun Liu, Yachao Li, Hongmeng Chen, Mugen Peng, “Adaptive subspace signal detection in structured interference plus compound Gaussian sea clutter,” Remote Sensing, vol. 14, no. 9: 2274, 2022..
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[32] 92. Jun Liu, Weijian Liu, Xun Chen, Danilo Orlando, and Alfonso Farina, “Performance analysis of the generalized likelihood ratio test in general phased array radar configuration”, IEEE Transactions on Signal Processing, vol. 69, pp. 4544-4555, 2021..
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[33] 91. Bo Tang, Jun Liu, Hai Wang and Yihua Hu, “Constrained radar waveform design for range profiling,” IEEE Transactions on Signal Processing, vol. 69, pp. 1924-1937, 2021. .
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[34] 90. Da Xu, Pia Addabbo, Chengpeng Hao, Jun Liu, Danilo Orlando, and Alfonso Farina, “Adaptive strategies for cutter edge detection in radar,” Signal Processing, vol. 186, pp. 108127, 2021..
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[35] 89. Weijian Liu, Zhaojian Zhang, Jun Liu*, Zheran Shang, and Yongliang Wang, “Detection of a rank-one signal with limited training data,” Signal Processing, vol. 186, pp. 108120, 2021..
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[36] 88. Yufeng Cui, Weijian Liu, Qinglei Du, Jun Liu, and Yongliang Wang, “A tunable detector for distributed targets when signal mismatch occurs”, Electronics Letters, vol. 57, no.15, pp. 594-596, July 2021..
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[37] 87. Jun Liu, Tao Jian and Weijian Liu, “Persymmetric detection of subspace signals based on multiple observations in the presence of subspace interference,” Signal Processing, vol. 183, pp. 107964, 2021..
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[38] 86. Shengyin Sun, Jun Liu*, Weijian Liu, and Tao Jian, “Robust detection of distributed targets based on Rao test and Wald test,” Signal Processing, vol. 180, pp. 107801, 2021..
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[39] 85. Jun Liu, Wuyang Zhou, Amir Zaimbashi, and Hongbin Li, “Persymmetric adaptive array detection of spread spectrum signals,” IEEE Transactions on Information Theory, vol. 66, no.12, pp. 7828-7834, December 2020..
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[40] 84. Jun Liu, Davide Massaro, Danilo Orlando, and Alfonso Farina, “Radar adaptive detection architectures for heterogeneous environments,” IEEE Transactions on Signal Processing, vol. 68, pp. 4307-4319, 2020..
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