**6. References**

[1] Federal Communications Commission, "*FCC notice of proposed rule making, revision of part 15 of the commission's rules regarding ultra-wideband transmission systems*," FCC, Washington DC, ET-docket 98-153.

[2] C. N. Paulson, J. T. Chang, C. E. Romero, J. Watson, F. J. Pearce, N. Levin, "Ultrawideband Radar Methods and Techniques of Medical Sensing and Imaging," *SPIE International Symposium on Optics East*, Boston, MA, US, 2005.

62 Ultra Wideband – Current Status and Future Trends

**Figure 33.** Carrier-based UWB receiver

using UWB pulse for bio-monitoring.

Xubo Wang, Anh Dinh and Daniel Teng

DC, ET-docket 98-153.

**5. Conclusion** 

**Author details** 

**6. References** 

Another advantage of this receiver topology is it can receive and process different frequency content at the same time, ie. The parallel receiver structure. This will increase the data rate

Many published works have discussed the CMOS transceiver design for communications, but few demonstrated the CMOS transceiver design for medical radar sensing. This chapter demonstrates the design of biomedical radar sensing on the single CMOS integrated UWB transceiver. The advantage of using integrated CMOS UWB technology in biomedical sensing is that this technology provides ultra-low power, ultra-low cost, and ultra-low area solutions with much accurate and reliable performance. This chapter proposes an integrated radar system architecture which can achieve the radar sensing for heart rate monitoring, and explores and implements the integrated single chip radar transceiver circuit in CMOS IC. This chapter shows the implementation of the low-power low cost CMOS biomedical radar

This chapter can be expended further to apply in biomedical imaging using impulse radio radar. By characterizing the reflection properties of different tissues inside human body, an image of fluoroscopy of the human body can be generated under UWB radar scanning. The

*Electrical and Computer Engineering Department, University of Saskatchewan, Saskatoon, Canada* 

[1] Federal Communications Commission, "*FCC notice of proposed rule making, revision of part 15 of the commission's rules regarding ultra-wideband transmission systems*," FCC, Washington

UWB radar will lead a technology breakthrough in the medical imaging area.

by a factor of N, where N equals to the number of the filters in the filter bank.


*Laboratory, Occupational and Environmental Health Directorate, Radiofrequency Radiation Division, Brooks Air Force Base*, TX, 78235-5102. Report: AL/OE-TR-1996-0037.

**Chapter 4** 

© 2012 Yu and Guo, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

© 2012 Yu and Guo, licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

**Compressed Sensing: Ultra-Wideband Channel** 

Ultra-wideband (UWB) communication (Win & Scholtz, 1998; Yang & Giannakis, 2004a) is a fast emerging technology since the Federal Communication Commission released a spectral mask in the spring of 2002. The major reason for UWB technology to receive much attention is its promising ability to provide low-power consumption, high bit rate and multipath resolution, and coexist with the narrow-band system by trading bandwidth for a reduced transmits power. In the impulse radio UWB (IR-UWB) systems, the duration of pulse is ultra-short, typically on the order of nanoseconds. On one hand, the ultra-short impulses make it possible to resolve and combine signal echoes with path length differential down to 1 ft exploiting the diversity inherent in the multipath channel and improving the position accuracy. On the other hand, the new technical (Witrisal et al., 2009) challenges are posed: (1) analog-to-digital converters (ADCs) working at the Nyquist rate are in general very expansive and power demanding; (2) the synchronization which is accomplished at the scale of sub nanosecond duration is extremely complex; (3) capture a sufficient amount of the rich multipath diversity need accuracy channel estimation. Compare to the transmitter easily

The emerging theory of compressed sensing (CS) (Candès, et al., 2006; Donoho, 2006) provides new approaches for practical UWB receiver design. When the short duration pulses in the UWB system propagate through the multipath channels, the received signals remain sparse in time domain. The sampling rate can be reduced to sub-Nyqusit rate and the receiver can reconstruct the initial signal with high probability. Accordingly, there has been a growing interest in applying the CS theory to sparse channel estimation (Bajwa et al., 2010; Berger et al., 2010). The recent literature on sparse channel estimation can be found in (Bajwa et al., 2010; Berger et al., 2010) and in their references. It is proved that conventional channel estimation methods provide higher errors because they ignore the prior knowledge

**Estimation Based on FIR Filtering Matrix** 

Huanan Yu and Shuxu Guo

http://dx.doi.org/10.5772/48714

**1. Introduction** 

Additional information is available at the end of the chapter

implement, the IR-UWB receiver are too complex.

