Compressive sensing for ultra-wideband channel estimation: On the sparsity assumption of ultra-wideband channels

International Journal of Communication Systems

Volumn 27, Issue 11, 2014, Pages 3383-3398

  Bąsaran, Mehmet ^a   Erküçük, Serhat ^b   Çírpan, Hakan Ali ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b KADIR HAS UNIVERSITY   (Turkey)

Author keywords

Channel resolution; Compressive sensing (CS); IEEE 802.15.4a channel models; Ultra wideband (UWB) channel estimation

Indexed keywords

CHANNEL ESTIMATION; COMPRESSED SENSING; CRAMER-RAO BOUNDS; HOUSES; IEEE STANDARDS; MULTIPATH PROPAGATION;

CHANNEL MODEL; COMPRESSIVE SENSING; CRAMER RAO LOWER BOUND; ESTIMATION PERFORMANCE; INDUSTRIAL ENVIRONMENTS; RESIDENTIAL ENVIRONMENT; ULTRA-WIDEBAND CHANNELS; UWB CHANNEL MODELS;

ULTRA-WIDEBAND (UWB);

EID: 84911959224     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.2548     Document Type: Article

References (30)

1. Win MZ, Scholtz RA. Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-Access communications. IEEE Transactions on Communications 2000; 48:679-691.
2. IEEE Std 802.15.4a-2007: Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), 2007.
3. Lie JP, Ng BP, See CMS. Direction finding receiver for UWB impulse radio signal in multipath environment. International Journal of Communication Systems 2010; 23:1537-1553. DOI: 10.1002/dac.1123.
4. Zeinalpour-Yazdi Z, Nasiri-Kenari M, Aazhang B. Performance of UWB linked relay network with time-reversed transmission in the presence of channel estimation error. IEEE Transactions on Wireless Communications 2012; 11:2958-2969.
5. Liao S-H, Chiu C-C, Ho M-H, Liu C-L. Channel capacity of multiple-input multiple-output ultra-wideband systems with single co-channel interference. International Journal of Communication Systems 2010; 23:1600-1612. DOI: 10.1002/dac.1131.
6. Abbasi-Moghadam D, Vakili VT. Characterization of indoor time reversal UWB communication systems: Spatial, temporal and frequency properties. International Journal of Communication Systems 2011; 24:277-294. DOI: 10.1002/dac.1140.
7. Liang Z, Jin L, Dong X. Downlink multiple access schemes for transmitted reference pulse cluster UWB systems. International Journal of Communication Systems 2011; 24:732-744. DOI: 10.1002/dac.1180.
8. Lottici V, D'Andrea A, Mengali U. Channel estimation for ultra-wideband communications. IEEE Journal on Selected Areas in Communications 2002; 20:1638-1645.
9. Huang L, Ko CC. Performance of maximum-likelihood channel estimator for UWB communications. IEEE Communications Letters 2004; 8:356-358.
10. Candes EJ, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory 2006; 52:489-509.
11. Donoho D. Compressed sensing. IEEE Transactions on Information Theory 2006; 52:1289-1306.
12. Bajwa WU, Haupt J, Sayeed AM, Nowak R. Compressed channel sensing: a new approach to estimating sparse multipath channels. IEEE Communications Magazine 2010; 98:1058-1076.
13. Berger CR, Wang Z, Huang J, Zhou S. Application of compressive sensing to sparse channel estimation. IEEE Communications Magazine 2010; 48:164-174.
14. Lampe L, Witrisal K. Challenges and recent advances in IR-UWB system design. IEEE Proceedings-ICUWB: International Conference on Ultra Wideband, Nanjing, China, 20-23 September 2010; 3288-3291.
15. Yang D, Li H, Peterson GD, Fathy A. Compressed sensing based UWB receiver: hardware compressing and FPGA reconstruction. IEEE Proceedings-CISS: Annual Conference on Information Sciences and Systems, Baltimore, MD, USA, 18-20 March 2009; 198-201.
16. Oka A, Lampe L. A compressed sensing receiver for bursty communication with UWB impulse radio. IEEE Proceedings-ICUWB: International Conference on Ultra Wideband, Vancouver, Canada, 9-11 September 2009; 279-284.
17. Zhang P, Hu Z, Qiu RC, Sadler BM. A compressed sensing based ultra-wideband communication system. IEEE Proceedings-ICC: International Conference on Communications, Dresden, Germany, 14-18 June 2009; 1-5.
18. Paredes JL, Arce GR, Wang Z. Ultra-wideband compressed sensing: channel estimation. IEEE Journal of Selected Topics in Signal Processing 2007; 1:383-395.
19. Liu TC-K, Dong X, Lu W-S. Compressed sensing maximum likelihood channel estimation for ultra-wideband impulse radio. IEEE Proceedings-ICC: International Conference on Communications, Dresden, Germany, 14-18 June 2009; 1-5.
20. Naini FM, Gribonval R, Jacques L, Vandergheynst P. Compressive sampling of pulse trains: spread the spectrum. IEEE Proceedings-ICASSP: International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, 19-24 April 2009; 2877-2880.
21. Yu H, Guo S. Pre-filtering ultra-wideband channel estimation based on compressed sensing. IEEE Proceedings-CMC: International Conference on Communications and Mobile Computing, Shenzen, China, 12-14 April 2010; 110-114.
22. Jian C, Ye X, Zhu W-P. Improved compressed sensing-based UWB channel estimation. Proceedings-WCSP: International Conference on Wireless Communications and Signal Processing, Nanjing, China, 9-11 November 2011; 1-5.
23. Barbieri A, Pancaldi F, Vitetta GM. Compressed channel estimation and data detection algorithms for IR-UWB. IEEE Proceedings ICUWB: International Conference on Ultra Wideband, Bologna, Italy, 14-16 September 2011; 360-364.
24. Lagunas E, Najar M. Sparse channel estimation based on compressed sensing for ultra wideband systems. IEEE Proceedings ICUWB: International Conference on Ultra Wideband, Bologna, Italy, 14-16 September 2011; 365-369.
25. Molisch AF, Cassioli D, Chong CC, Emami S, Fort A, Kannon B, Karedal J, Kunisch J, Schantz HG, Siwiak K, Win MZ. A comprehensive standardized model for ultrawideband propagation channels. IEEE Transactions on Antennas and Propagation 2006; 54:3151-3166.
26. Erküçük S, Kim DI, Kwak KS. Effects of channel models and rake receiving process on UWB-IR system performance. IEEE Proceedings ICC: International Conference on Communications, Glasgow, Scotland, 24-28 June 2007; 4896-4901.
27. Candes EJ, Wakin MB. An Introduction to compressive sampling. IEEE Signal Processing Magazine 2008; 25:21-30.
28. 1-Magic: Recovery of Sparse Signals via Convex Programming. (Available from: [http://users.ece.gatech.edu/justin/l1magic/downloads/l1magic.pdf]).
29. Carbonelli C, Vedantam S, Mitra U. Sparse channel estimation with zero tap detection. IEEE Transactions on Wireless Communications 2007; 6:1743-1763.
30. Raz G, Bajwa WU, Haupt J, Nowak R. Compressed channel sensing. IEEE Proceedings CISS: Annual Conference on Information Sciences and Systems, Princeton, NJ, USA, 19-21 March 2008; 5-10.