975 research outputs found
Modelling of Path Arrival Rate for In-Room Radio Channels with Directive Antennas
We analyze the path arrival rate for an inroom radio channel with directive
antennas. The impulse response of this channel exhibits a transition from early
separate components followed by a diffuse reverberation tail. Under the
assumption that the transmitter's (or receiver's) position and orientation are
picked uniformly at random we derive an exact expression of the mean arrival
rate for a rectangular room predicted by the mirror source theory. The rate is
quadratic in delay, inversely proportional to the room volume, and proportional
to the product of beam coverage fractions of the transmitter and receiver
antennas. Making use of the exact formula, we characterize the onset of the
diffuse tail by defining a "mixing time" as the point in time where the arrival
rate exceeds one component per transmit pulse duration. We also give an
approximation for the power-delay spectrum. It turns out that the power-delay
spectrum is unaffected by the antenna directivity. However, Monte Carlo
simulations show that antenna directivity does indeed play an important role
for the distribution of instantaneous mean delay and rms delay spreadComment: Submitted to IEEE Trans. Antennas and Propagatio
Stochastic Multipath Model for the In-Room Radio Channel based on Room Electromagnetics
We propose a stochastic multipath model for the received signal for the case
where the transmitter and receiver, both with directive antennas, are situated
in the same rectangular room. This scenario is known to produce channel impulse
responses with a gradual specular-to-diffused transition in delay. Mirror
source theory predicts the arrival rate to be quadratic in delay, inversely
proportional to room volume and proportional to the product of the antenna beam
coverage fractions. We approximate the mirror source positions by a homogeneous
spatial Poisson point process and their gain as complex random variables with
the same second moment. The multipath delays in the resulting model form an
inhomogeneous Poisson point process which enables derivation of the
characteristic functional, power/kurtosis delay spectra, and the distribution
of order statistics of the arrival delays in closed form. We find that the
proposed model matches the mirror source model well in terms of power delay
spectrum, kurtosis delay spectrum, order statistics, and prediction of mean
delay and rms delay spread. The constant rate model, assumed in e.g. the
Saleh-Valenzuela model, is unable to reproduce the same effects.Comment: 14 pages, Manuscript Submitted to IEEE Transaction on Antennas and
Propagatio
Analysis and Design of Binary Message-Passing Decoders
Binary message-passing decoders for low-density parity-check (LDPC) codes are
studied by using extrinsic information transfer (EXIT) charts. The channel
delivers hard or soft decisions and the variable node decoder performs all
computations in the L-value domain. A hard decision channel results in the
well-know Gallager B algorithm, and increasing the output alphabet from hard
decisions to two bits yields a gain of more than 1.0 dB in the required signal
to noise ratio when using optimized codes. The code optimization requires
adapting the mixing property of EXIT functions to the case of binary
message-passing decoders. Finally, it is shown that errors on cycles consisting
only of degree two and three variable nodes cannot be corrected and a necessary
and sufficient condition for the existence of a cycle-free subgraph is derived.Comment: 8 pages, 6 figures, submitted to the IEEE Transactions on
Communication
- …