In this paper, we propose a novel search and selection method for spreading code set of UWB system and apply it to IEEE 802.15.4a IR-UWB system. To find a spreading code with low spectral peak to average ratio (SPAR) and good auto-correlation property, the proposed method searches spreading codes in the frequency domain based on the time-frequency relation of the spreading code. Using evaluation parameters, we selected the code set which had SPAR reduced about 1.1079 dB, Golay merit factor (GMF) improved by 49% and almost the same modified Golay merit factor (MGMF) compared to the code set used as preambles for IR-UWB system.

In this paper, we propose a new code set which has very low spectral peak to average ratio (SPAR) and good correlation properties for DS-UWB. The codes which have low SPAR are suitable for DS-UWB system which operates in UWB (3.110.4 GHz) because they can utilize more power than high SPAR codes can do. And, in order to reduce inter symbol interference (ISI) and inter piconet interferences, the codes which have good auto- and cross-correlation properties must be used. In this paper, we propose three items; (1) a new code generation method which can generate good SPAR and auto-correlation codes, (2) code selection criteria, and (3) a code set, which has been selected according to the proposed selection criteria. The proposed code set has SPAR reduced about 0.22 dB and GMF improved by 30% compared to the previous code set while it is maintaining almost same cross-correlation properties. Each code of the proposed code set, therefore, has gained 1.43 dB SIR on an average compared to that of the previous code set.

For robust time delay estimation, we propose a new subspace-based algorithm which estimates the phase shift not between the adjacent samples of the dechirped sinusoid but between the dechirped sinusoids in different bands. We analyze the proposed and the conventional method in AWGN channel and verifiy the proposed algorithm through Monte-carlo simulations in AWGN and multi-path channels.