**Author details**

8 Will-be-set-by-IN-TECH

**Figure 3.** Capacity of BICM BPSK IR-UWB for soft/hard-output DD (solid gray/dashed gray), soft-output MSDD with *L* = 2, 5, and 10 (solid black), and DF-DD with *L* = 2 and 5 (dashed black).

In addition, a more detailled analysis shows that in non-fading scenarios an interleaver is not

**4.2. Performance of advanced detection schemes for coded IR-UWB transmission** Finally, the design rules derived above are verified by means of numerical simulations. Fig. 4 depicts the BER of coded IR-UWB transmission using convolutional codes with optimized code rate compared to the default rate choice of *R*<sup>c</sup> = 0.5. We apply the same channel model as in Sec. 3.4), and nonrecursively nonsystematically encoded maximum-free-distance convolutional codes with constraint length *ν* = 4. For soft-output DD, the optimum rate

**Figure 4.** BER of convolutionally-coded BICM BPSK IR-UWB with autocorrelation-based detection with *L* = 1, 2, 5, and 10 (right to left). Solid: optimum code rate (*R*<sup>c</sup> = 2/3 for DD with *L* = 1 and *R*<sup>c</sup> = 3/4 for *L* = 2, 5 and 10), dashed: *R*<sup>c</sup> = 1/2, gray: DD uncoded, left: soft-output MSDD, right: DF-DD, both using multiple-observations combining with maximum overlap. Gaussian approximation with

Gaussian approximation with time-bandwidth product *N* = 400.

required for BICM IR-UWB [16].

time-bandwidth product *N* = 400.

Andreas Schenk *Lehrstuhl für Informationsübertragung, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany*

Robert F.H. Fischer

*Institut für Nachrichtentechnik, Universität Ulm, Germany*
