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With the CAPC-1 method, the received SNR is too low during a deep fade.
In this method, the received signal is decomposed by "db6" wavelet and the kurtosis of energy blocks of the low-frequency wavelet coefficients (K c) is analyzed.
Thus, threshold crossing method has been proposed; with this method, the received energy blocks z[n] are compared with a selected threshold.
In the case of two nodes beamforming using the proposed method, the received signal power achieves 92% of its ideal value, which is 5.3 dB higher compared with signal node transmission.
Based on the operator method, the received results of this paper are analogues of Le Cam's inequality in classical literature (we refer the reader to Steele [7], Le Cam [5], Chen [8], Neammanee [9], and Wang [3] for a complete treatment of the problem).
By using the detected and as well as the interference subtraction method, the received symbols after the interference cancellation in (6) and (7) can be expressed as (8).
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The system offers better localization accuracy than other fingerprint-based methods, such as methods employing the received signal strength fingerprint with kernel distance [8] and the decimal-scale ACIR fingerprint with general regression neural networks generalized from [9].
In the PHC method, all the received words are classified into a code word or a 1-bit error.
However, most of these methods use the received signal strength indicator (RSSI) as data for location determination [7, 8].
Like the frequency scaling algorithm, this method starts with the received signal dechirped in range.
Figure 1 shows the average sum-rate performance of the optimum power allocation method over the receive antenna correlation (rho _{r_{k}} in lbrack 0, 0.9999rbrack ) for all k.
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