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The CIR h = {h 0,h 1,…,h L−1} therefore completely describes the multipath channel for a given received data block, assuming that the data block is sufficiently short so as to render the CIR time-invariant.
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We have already explained P e SC, k in (16) as the end-to-end BER, i.e., the probability that any given bit of received data is in error.
In either case, the task of receiver is to jointly estimate the channel h and the data vector X given only the received data symbol Y. Considering the data model in (10), the joint ML channel estimation and data detection problem reduces to minimizing the following objective function: J ML = min h, X ∈ Ω 2 N ∥ Y − ρ X a h ∥ 2, (12).
In real-time applications, a given filter receives data at the same rate it processes and outputs it.
The risks were likely to increase significantly with devices that use radio links to give or receive data.
Cars will be able to give and receive data in real-time, allowing drivers — or the driver's car, rather — to react immediately.
V2I capability will allow cars to give and receive data in real time so that a driver can change his route accordingly.
The signal model of radar received data is given by r ( t n ) = s t ( t n ) + r i ( t n ), (38).
Thus, the received data is given by y [ k ] = ∑ l = 0 L h - 1 h [ l ] x [ k - l ] + n [ k ].
Assuming that the sources are uncorrelated and the noise is spatially and temporally white with variance σ n 2 and uncorrelated from the sources, the autocorrelation matrix of the received data is given by: R x x ω 0 = E x ω 0 x ω 0 H = A ω 0 R s s ω 0 A H ω 0 + σ n 2 I, (4).
All participants were given 3G enabled iPads and received data plans to avoid limitations to access to online resources.
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