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Spectrum measurement technology is widely used in wireless communication, electronic countermeasure, cognitive radio, smart absorbing structure, etc. In this paper we propose a new sign spectrum sensing approach which contains mainly data acquiring stage and spectrum sensing stage. In the former stage, based on the standard compression sensing, we propose a new sign data acquiring approach, in which we preserve only the sign information about the measurements, so that the data storage space is reduced. In the latter stage, we construct the spectrum sensing algorithm based on the consistent reconstruction principle and the gradient steepest descent algorithm. Simulation results demonstrate that this approach reduces the number of measurements and the data storage space, and at the same time this approach perfectly acquires the spectrum information. This approach can well be used in front spectrum measurement stage of wireless commucation, electronic countermeasure, smart absorbing structure and cognitive radio.
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Keywords:
- spectrum sensing /
- sign compressed sensing /
- smart absorbing structure
[1] Munk B A 2000 Frequency Selective Surfaces: Theory and Design (New York: Wiley-Interscience) pp1-25
[2] Li X Q, Gao J S, Zhao J L, Sun L C 2008 Acta Phys. Sin. 57 3803 (in Chinese)[李小秋、高劲松、赵晶丽、孙连春 2008 57 3803]
[3] Li X Q, Feng X G, Gao J S 2008 Acta Phys. Sin. 57 3193 (in Chinese)[李小秋、冯晓国、高劲松 2008 573193]
[4] Jia H Y, Gao J S, Feng X G, Sun L C 2009 Acta Phys. Sin. 58 505 (in Chinese)[贾宏燕、高劲松、冯晓国、孙连春 2009 58 505]
[5] Fang C Y, Zhang S R, Lu J,Wang J B, Sun L C 2010 Acta Phys. Sin. 59 5023 (in Chinese)[方春易、张树仁、卢 俊、汪剑波、孙连春 2010 59 5023]
[6] Lu J, Chen X Y, Wang J B 2008 Acta Phys. Sin. 57 7200 (in Chinese)[卢 俊、陈新邑、汪剑波 2008 57 7200]
[7] Nie Y, Feng Z K, Zhang X C, He H H 2004 J. Huazhong University of Science and Technology (Natural Science) 32 50 (in Chinese)[聂 彦、冯则坤、张秀成、何华辉 2004 华中科技大学学报 (自然科学版) 32 50]
[8] Donoho D 2006 Information Theory, IEEE Transactions on 52 1289
[9] Boufounos, Baraniuk R G 2008 Conference on Information Sciences and Systems (CISS) Princeton NJ 16
[10] Candès E, Romberg J 2006 Infor. Theor. IEEE Trans. 52 489
[11] Candès E 2006 Proc. Inter. Congress of Mathematicians 3 Madrid Spain 2006 1433
[12] Needell D, Tropp J A 2008 Appl. Comp. Harmonic Anal. 26 301
[13] Thao N, Vetterli M 1994 Sig. Proc. IEEE Trans. 42 200
[14] Goyal V K, Vetterli M, Thao N 1998 IEEE Transaction on Information Theory 44 16
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[1] Munk B A 2000 Frequency Selective Surfaces: Theory and Design (New York: Wiley-Interscience) pp1-25
[2] Li X Q, Gao J S, Zhao J L, Sun L C 2008 Acta Phys. Sin. 57 3803 (in Chinese)[李小秋、高劲松、赵晶丽、孙连春 2008 57 3803]
[3] Li X Q, Feng X G, Gao J S 2008 Acta Phys. Sin. 57 3193 (in Chinese)[李小秋、冯晓国、高劲松 2008 573193]
[4] Jia H Y, Gao J S, Feng X G, Sun L C 2009 Acta Phys. Sin. 58 505 (in Chinese)[贾宏燕、高劲松、冯晓国、孙连春 2009 58 505]
[5] Fang C Y, Zhang S R, Lu J,Wang J B, Sun L C 2010 Acta Phys. Sin. 59 5023 (in Chinese)[方春易、张树仁、卢 俊、汪剑波、孙连春 2010 59 5023]
[6] Lu J, Chen X Y, Wang J B 2008 Acta Phys. Sin. 57 7200 (in Chinese)[卢 俊、陈新邑、汪剑波 2008 57 7200]
[7] Nie Y, Feng Z K, Zhang X C, He H H 2004 J. Huazhong University of Science and Technology (Natural Science) 32 50 (in Chinese)[聂 彦、冯则坤、张秀成、何华辉 2004 华中科技大学学报 (自然科学版) 32 50]
[8] Donoho D 2006 Information Theory, IEEE Transactions on 52 1289
[9] Boufounos, Baraniuk R G 2008 Conference on Information Sciences and Systems (CISS) Princeton NJ 16
[10] Candès E, Romberg J 2006 Infor. Theor. IEEE Trans. 52 489
[11] Candès E 2006 Proc. Inter. Congress of Mathematicians 3 Madrid Spain 2006 1433
[12] Needell D, Tropp J A 2008 Appl. Comp. Harmonic Anal. 26 301
[13] Thao N, Vetterli M 1994 Sig. Proc. IEEE Trans. 42 200
[14] Goyal V K, Vetterli M, Thao N 1998 IEEE Transaction on Information Theory 44 16
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