Wireless device identification in MIMO channels

Ming-Wei Liu, J. Doherty
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引用次数: 6

Abstract

A data-aided iterative algorithm to estimate the nonlinearities of wireless emitters for Specific emitter Identification (SEI) is presented. To achieve robust estimation, Inter Symbol Interference (ISI) is removed by iteratively estimating the channel coefficients and nonlinear transmit symbols to achieve asymptotically unbiased estimation. The complexity of the iteration procedure is further reduced by increasing the step size of the iteration result. The algorithm is applicable to various communication systems where multiple amplitude level schemes are used such as QAM, OFDM, and PAM in Multiple-Input Multiple-Output (MIMO) channels. Numerical results are shown which achieve nonlinearity estimation and radio emitter identification over empirical channel models using an Orthogonal Frequency Division Multiplexing (OFDM) MIMO system.
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MIMO信道中的无线设备识别
提出了一种基于数据辅助迭代估计无线发射体非线性的特定发射体识别算法。为了实现稳健估计,通过迭代估计信道系数和非线性发射符号来消除码间干扰(ISI),实现渐近无偏估计。通过增加迭代结果的步长,进一步降低了迭代过程的复杂性。该算法适用于多输入多输出(MIMO)信道中采用QAM、OFDM、PAM等多种幅度级方案的通信系统。给出了利用正交频分复用(OFDM) MIMO系统在经验信道模型上实现非线性估计和射频发射器识别的数值结果。
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