|
|
|
| A Novel Local Most Powerful Invariant Test Spectrum Sensing Method for Non-circular Signals |
| JIA Qiong LI Bingbing |
| (State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China) |
|
|
|
|
Abstract Spectrum sensing is a key technology in the cognitive radio network, in order to protect the primary user, the sensing algorithms must have a high detection efficiency and detection accuracy. This paper mainly focuses on the spectrum sensing in MIMO environment. Considering that the non-circular signal is usually used in the communication system, a novel spectrum sensing method is proposed for non-circular signals based on the Locally Most Powerful Invariant Test (LMPIT). The theoretical threshold is derived according to the asymptotic distribution theorem. Finally, the detection performance comparisons with other methods in various channels are simulated respectively. The results show that the proposed method outperforms other algorithms and only need small sample numbers, thus having higher sensing accuracy and efficiency.
|
|
Received: 06 September 2015
Published: 07 April 2016
|
|
|
| Fund: The National Natural Science Foundation of China (61271299), 111 Project (B08038) |
|
Corresponding Authors:
JIA Qiong
E-mail: joanjiaqiong@hotmail.com
|
|
|
|
| [1] |
AXELL E, LEUS G, LARSSON E G, et al. Spectrum sensing for cognitive radio: State-of-the-art and recent advances[J]. IEEE Signal Processing Magazine, 2012, 29(3): 101-116.
|
| [2] |
YUCEK T and ARSLAN H. A survey of spectrum sensing algorithms for cognitive radio applications[J]. IEEE Communications Surveys & Tutorials, 2009, 11(1): 116-130.
|
| [3] |
ZHU Y, LIU J, FENG Z, et al. Sensing performance of efficient cyclostationary detector with multiple antennas in multipath fading and lognormal shadowing environments[J]. Journal of Communications and Networks, 2014, 16(2): 162-171.
|
| [4] |
SUTTON P D,ÖZGÜL B, and DOYLE L E. Cyclostationary signatures for LTE Advanced and beyond[J]. Physical Communication, 2014, 10: 179-189.
|
| [5] |
LIU Y, ZHONG Z, WANG G, et al. Cyclostationary detection based spectrum sensing for cognitive radio networks[J]. Journal of Communications, 2015, 10(1): 74-79.
|
| [6] |
ATAPATTU S, TELLAMBURA C, and JIANG H. Energy Detection for Spectrum Sensing in Cognitive Radio[M]. Berlin: Springer, 2014: 11-26.
|
| [7] |
LI B, SUN M, LI X, et al. Energy detection based spectrum sensing for cognitive radios over time-frequency doubly selective fading channels[J]. IEEE Transactions on Signal Processing, 2015, 63(2): 402-417.
|
| [8] |
GOKCEOGLU A, DIKMESE S, VALKAMA M, et al. Energy detection under iq imbalance with single-and multi- channel direct-conversion receiver: analysis and mitigation[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(3): 411-424.
|
| [9] |
ZENG Y and LIANG Y C. Maximum-minimum eigenvalue detection for cognitive radio[C]. Proceedings of IEEE 18th International Symposium on Personal Indoor, Mobile Radio Communication, Athens, 2007: 1-5.
|
| [10] |
LIM T J, ZHANG R, LIANG Y C, et al. GLRT- based spectrum sensing for cognitive radio[C]. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), New Orleans, LO, 2008: 1-5.
|
| [11] |
RAMÍREZ D, VAZQUEZ-VILAR G, LÖPEZ-VALCARCE R, et al. Detection of rank-signals in cognitive radio networks with uncalibrated multiple antennas[J]. IEEE Transactions on Signal Processing, 2011, 59(8): 3764-3774.
|
| [12] |
HUANG L, SO H C, and QIAN C. Volume-based method for spectrum sensing[J]. Digital Signal Processing, 2014, 28: 48-56.
|
| [13] |
HUANG L, XIAO Y H, and ZHANG Q T. Robust spectrum sensing for noncircular signal in multiantenna cognitive receivers[J]. IEEE Transactions on Signal Processing, 2015, 63(2): 498-511.
|
| [14] |
SCHREIER P J and SCHARF L L. Statistical Signal Processing of Complex-valued Data: the Theory of Improper and Noncircular Signals[M]. New York: Cambridge University Press, 2010: 65-66.
|
| [15] |
RAMIREZ D, VIA J, SANTAMARIA I, et al. Locally most powerful invariant tests for correlation and sphericity of
|
|
gaussian vectors[J]. IEEE Transactions on Information Theory, 2013, 59(4): 2128-2141.
|
| [16] |
BOX G E P, HUNTER J S, and HUNTER W G. Statistics for Experimenters: Design, Innovation, and Discovery[M]. New York, John Willey, 2005: 46-48.
|
| [17] |
贾琼, 李兵兵. 基于局部方差的MIMO频谱感知算法研究[J].电子与信息学报, 2015, 37(7): 1525-1530. doi: 10.11999/ JEIT141540.
|
|
JIA Qiong and LI Bingbing. MIMO Spectrum sensing method based on the local variance[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1525-1530. doi: 10.11999/JEIT141540.
|
| [18] |
CHIANI M, WIN M Z, and ZANELLA A. On the capacity of spatially correlated MIMO Rayleigh-fading channels[J]. IEEE Transactions on Information Theory, 2003, 49(10): 2363-2371.
|
|
|
|
