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In this paper we present decision-feedback differential detection (DF-DD)schemes for autocorrelation-based detection in impulse-radio ultra-wideband(IR-UWB) systems, a signaling scheme regarded as a promising candidate inparticular for low-complexity wireless sensor networks. To this end, we firstdiscuss ideal noncoherent sequence estimation and approximations thereof basedon block-wise multiple-symbol differential detection (MSDD) and the Viterbialgorithm (VA) from the perspective of tree-search/trellis decoding. Exploitingrelations well-known from tree-search decoding, we are able to derive the noveldecision-feedback differential detection (DF-DD) schemes. A comprehensivecomparison with respect to performance and complexity of the presented schemesin a typical IR-UWB scenario reveals---along with novel insights in techniquesfor complexity reduction of the sphere decoder applied for MSDD---that sortedDF-DD achieves close-to-optimum performance at very low, and in particularconstant receiver complexity.

Decision-Feedback Differential Detection in Impulse-Radio Ultra-Wideband Systems