[1] Zhou H, Mao S W, Agrawal P. Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks[J]. Digital Communications and Networks, 2015, 1(3): 171-180.

[2] Chang C H, Li C Y, Le H H. A 100-Gb/s multiple-input multiple-output visible laser communication system[J]. Journal of Lightwave Technology, 2014, 32(24): 4121-4127.

[3] Liu H L,Dai H Y, Chen Y, et al. Conflict graph-based downlink resource allocation and scheduling for indoor visible light communications[J]. Journal of the Optical Society of Korea, 2016, 20(1): 36-41.

[4] Jose R, Hari K V S. Maximum likelihood algorithms for joint estimation of synchronization impairments and channel in multiple input multiple output-orthogonal frequency division multiplexing system[J]. IET Communications, 2013, 7(15): 1567-1579.

[5] Jiang Y, Zhu J, Zou Y L. Secrecy outage analysis of multi-user multi-eavesdropper cellular networks in the face of cochannel interference[J]. Digital Communications and Networks, 2015, 1(1): 68-74.

[6] 唐丹颖, 李洪磊, 陈雄斌, 等. 探测器非线性对可见光通信系统幅频响应的影响[J]. 中国激光, 2014, 41(4): 0405002.

    Tang Danying, Li Honglei, Chen Xiongbin, et al. Effects of detector′s nonlinearity on frequency response of visible light communication system[J]. Chinese J Lasers, 2014, 41(4): 0405002.

[7] 张建昆, 杨宇, 陈弘达. 室内可见光通信调制方法分析[J]. 中国激光, 2011, 38(4): 0405003.

    Zhang Jiankun, Yang Yu, Chen Hongda. Modulation scheme analysis of indoor visible light communications[J]. Chinese J Lasers, 2011, 38(4): 0405003.

[8] Azhar A H, Tran T A, O′Brien D. A gigabit/s indoor wireless transmission using MIMO-OFDM visible-light communications[J]. IEEE Photonics Technology Letters, 2013, 25(2): 171-174.

[9] Park S, Shim B, Choi J W. Iterative channel estimation using virtual pilot signals for MIMO-OFDM systems[J]. IEEE Transactions on Signal Processing, 2015, 63(12): 3032-3045.

[10] Masood M, Afify L H, Al-Naffouri T Y. Efficient coordinated recovery of sparse channels in massive MIMO[J]. IEEE Transactions on Signal Processing, 2015, 63(1): 104-118.

[11] Ding W B, Yang F, Dai W, et al. Time-frequency joint sparse channel estimation for MIMO-OFDM systems[J]. IEEE Communications Letters, 2015, 19(1): 58-61.

[12] Pejoski S, Kafedziski S. Estimation of sparse time dispersive channels in pilot aided OFDM using atomic norm[J]. IEEE Wireless Communications Letters, 2015, 4(4): 397-400.

[13] Zhang T, Guo S X, Chen H P, et al. Enhancing the bit error rate of indoor visible light communication systems using adaptive channel estimation algorithm[J]. IET Communications, 2015, 9(4): 501-507.

[14] Kamali A, Sahaf M R A, Hosseini A M D, et al. A low complexity DFT-matrix based pilot allocation algorithm for sparse channel estimation in OFDM systems[J]. AEU - International Journal of Electronics and Communications, 2014, 68(2): 85-89.

[15] Xu P, Wang J Z, Wang J K, et al. Analysis and design of channel estimation in multicell multiuser MIMO OFDM systems[J]. IEEE Transactions on Vehicular Technology, 2015, 64(2): 610-620.

[16] He X Y, Song R F, Zhu W P. Pilot allocation for distributed-compressed-sensing-based sparse channel estimation in MIMO-OFDM systems[J]. IEEE Transactions on Vehicular Technology, 2016, 65(5): 2990-3004.

[17] Tsai P Y, Lo P C, Shih F J, et al. A 4×4 MIMO-OFDM baseband receiver with 160 MHz bandwidth for indoor gigabit wireless communications[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2015, 62(12): 2929-2939.