title: Optimal waveforms design for ultra-wideband impulse radio sensors.
abstract: Ultra-wideband impulse radio (UWB-IR) sensors should comply entirely with the regulatory spectral limits for elegant coexistence. Under this premise, it is desirable for UWB pulses to improve frequency utilization to guarantee the transmission reliability. Meanwhile, orthogonal waveform division multiple-access (WDMA) is significant to mitigate mutual interferences in UWB sensor networks. Motivated by the considerations, we suggest in this paper a low complexity pulse forming technique, and its efficient implementation on DSP is investigated. The UWB pulse is derived preliminarily with the objective of minimizing the mean square error (MSE) between designed power spectrum density (PSD) and the emission mask. Subsequently, this pulse is iteratively modified until its PSD completely conforms to spectral constraints. The orthogonal restriction is then analyzed and different algorithms have been presented. Simulation demonstrates that our technique can produce UWB waveforms with frequency utilization far surpassing the other existing signals under arbitrary spectral mask conditions. Compared to other orthogonality design schemes, the designed pulses can maintain mutual orthogonality without any penalty on frequency utilization, and hence, are much superior in a WDMA network, especially with synchronization deviations.
authors.affiliation: Key Lab of Universal Wireless Communications, Ministry of Education (MOE), Inner Box. 96, BUPT, Beijing 100876, China. stonebupt@gmail.com
authors.forename: Bin
authors.initials: B
authors.lastname: Li
authors.forename: Zheng
authors.initials: Z
authors.lastname: Zhou
authors.forename: Weixia
authors.initials: W
authors.lastname: Zou
authors.forename: Dejian
authors.initials: D
authors.lastname: Li
authors.forename: Chong
authors.initials: C
authors.lastname: Zhao
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D008954:Models, Biological; D008962:Models, Theoretical; D057233:Radio Frequency Identification Device / Q000379:methods; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013016:Sound; D013057:Spectrum Analysis; D013685:Telecommunications / Q000295:instrumentation