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But for a ideal receiver with K = 0 it converges to zero irrespective of SNR and the transmitter I/Q imbalance (|G1|2 ≈ 1). Figure 5 Behavior of the biasing factors a and b of the three estimation and equalization schemes for worst case (IRR = 25 dB g = 0.9 and ϕ = 2 o ) and close-to-ideal (IRR = 55 dB g = 1 and ϕ = 0.2 o ) transceivers.
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For the relatively small K, a → a ideal = [ 1 + N P σ H 2 ] − 1 where a ideal is the biasing factor of an ideal receiver which again emphasis the above facts.
Since we are interested in the degradation of the transmitted signal, we assume that down-conversion and FFT demodulation processes, performed to demodulate the transmitted baseband signal, are carried by employing an ideal receiver.
For an ideal receiver τ = 1, therefore pAUCideal = η and the pAUC of a method, standardized on the pAUC of ideal receiver will be: (21) S P A η = 1 η ∫ 0 η τ η ' d η ' We use standardized partial area (SPA) curves and their ratios as the main criteria for comparison.
We examined a receiver with single diameter tubes, an ideal flow receiver, a receiver using various diameter tubes and a receiver made of tube panels in series.
Two different receiver architectures are considered, namely, an ideal soft-receiver and a hard receiver.
For higher order modulations with higher image rejection follow the ideal receiver for a lower SNR region.
The ideal receiver should consider the likelihood of the received vectors for each possible codeword, jointly performing detection and decoding.
First, I-rake is an ideal rake receiver that captures all of the received signal power by having numbers of fingers equal to the number of multipath components.
Eventually, the receiver close to ideal receiver perform better.
For comparison ideal receiver (without the I/Q imbalance K→0) also plotted in the same figure.
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