Abstract
This paper treats the digital design of a probabilistic energy equalizer for impulse radio (IR) UWB receiver in high data rate (100Mbps). The aim of this study is to bypass certain complex mathematical function as a chi-squared distribution and reduce the computational complexity of the equalizer for a low cost hardware implementation. As in Sub-MAP algorithm, the max* operation is investigated for complexity reduction and tested by computer simulation with fixed point data types under 802.15.3a channel models. The obtained re-sults prove that the complexity reduction involves a very slight algorithm deterioration and still meet the low-cost constraint of the implementation.
Highlights
Ultra-wideband impulse radio is considered as a promising candidate for indoor communications and wireless sensor networks, as described in [1]
The energy detection is simple to implement, transmitting impulses at high data rate leads to inter-symbol interference (ISI) which decreases the performance of the receiver [4,5,6]
We a have shown how a complex and costly probabilistic equalizer is simplified for digital design by using the logarithmic domain
Summary
Ultra-wideband impulse radio is considered as a promising candidate for indoor communications and wireless sensor networks, as described in [1]. The energy detection is simple to implement, transmitting impulses at high data rate leads to inter-symbol interference (ISI) which decreases the performance of the receiver [4,5,6]. Where h(t) is the impulse channel response, denotes the convolution product, p(t) is the pulse shape, Tslot is the time slot duration for an M-PPM modulation,i.e. Ts = MTslot , and An,k takes value in {0,1, , M 1} according to transmitted symbol. If the noncentrality parameter is equal to zero; i.e. Bn,m = 0 ; the received energy follows a central chi-squared distribution defined as n,m p( n , m. The energy distribution is studied in sections and simplified for hardware implementation
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