DONOHO D L. Compressed sensing[J]. Transactions on Information Theory, 2006, 52(4): 1289-1306.
[2]
CHANG A C,CHUNG C M. Covariance shaping least-squares location estimation using TOA measurements[J]. IEICE Transactions on Fundamentals of Estimation, Communication and Computer Sciences, 2007, 90(3): 691-693.
[3]
SO H C,HUI S P. Constrained location algorithm using TDOA measurements[J]. IEICE Transactions on Funda-mentals of Electronics, Communications and Computer Sciences, 2003, 86(12): 3291-3293.
[4]
RONG P, SICHITIU M L. Angle of arrival localization for wireless sensor networks[C]//Proceedings of Third Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. Reston, USA, 2006: 374-382.
[5]
CHEUNG K W, SO H C, MA W K, et al.Received signal strength based mobile positioning via constrained weighted least squares[C]//Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Hong Kong, China, 2003: 137-140.
[6]
PIVATO P,PALOPOLI L, PETRI D. Accuracy of RSS-based centroid localization algorithms in an indoor environment[J]. IEEE Transactions on Instrumentation and Measurement, 2011,60(10): 3451-3460.
[7]
GUO Xiaonan, ZHANG Dian, NI Lionelm. Localizing multiple objects in an RF-based dynamic environment[C]//IEEE 32nd International Conference on Distributed Computing Systems.Macau,China, 2012: 576-585.
[8]
FENG Chen, SHAHROKH V, TAN Zhenhui. Multiple target localization using compressive Sensing[C]//IEEE Global Telecommunications Conference. Hawaii, USA, 2009: 1-6.
[9]
何风行,余志军,刘海涛.基于压缩感知的无线传感器网络多目标定位算法[J]. 电子与信息学报, 2012, 34(3):716-721.HE Fenghang, YU Zhijun, LIU Haitao. Multiple target localization via compressed sensing in wireless sensor networks[J]. Journal of Electronics and Information Technology, 2012, 34(3): 716-721.
[10]
ZHANG B W, CHENG X Z, ZHANG N, et al. Sparse target counting and localization in sensor networks based on compressive sensing[C]//IEEE INFOCOM.Shanghai, China, 2011: 2255-2263.
[11]
BABACAN S D, MOLINA R, KATSAGGELOS A K.Bayesian compressive sensing using laplace priors[J]. IEEE Transactions on Image Processing, 2010, 19(1): 53-63.
[12]
CANDES E J,ROMBERG J,TAO T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency in information[J]. IEEE Transactions on Information theory, 2006, 52(2): 489-509.
[13]
TIPPING M E. Sparse Bayesian learning and the relevance vector machine[J].Journal of Machine Learning Research, 2001, 1(3): 211-244.
[14]
FIGUEIREDO M A T.Adaptive sparseness for supervised learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(9): 1150-1159.
[15]
TIPPING M E, FAUL A C.Fast marginal likelihood maximization for sparse Bayesian models[C]//Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics.Key West, USA, 2003: 1-8.
[16]
章坚武,颜欢,包建荣.改进的基于拉普拉斯先验的贝叶斯压缩感知算法[J]. 电路与系统学报, 2012,17(1): 34-40.ZHANG Jianwu, YAN Huan, BAO Jianrong. Improved Bayesian compressive sensing algorithm with Laplace priors[J]. Journal of Circuits and Systems, 2012, 17(1): 34-40.
[17]
TROPP J A,GILBERT A C.Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.
[18]
CHEN S S, DONOHO D L, SAUNDERS M A.Atomic decomposition by basis pursuit[J]. SIAM Review, 2001, 43(1): 129-159.
[19]
朱翠涛,瞿毅.基于压缩感知的稀疏事件检测[J]. 中南民族大学学报: 自然科学版, 2011, 30(1): 80-83.ZHU Cuitao, QU Yi. Sparse event detection based on compressive sensing[J].Journal of South-Central University for Nationalities: Natural Science Edition, 2011, 30(1): 80-83.