Different circuit-level approaches to analyze the effects of nonlinear distortion on coded division multiple access (CDMA) wireless
INTRODUCTIONThe interest in a precise approach to analyze the effects of nonlinear distortion in modern mobile and wireless communication systems is still generating a great effort in the development of simulation techniques [1]. Nonlinear devices generate co-channel and adjacent-channel interference due to intermodulation and spectral regrowth. Therefore, the prediction of nonlinear characteristics such as adjacent channel power rejection (ACPR), constellation distortion, and noise power ratio (NPR) in wireless communication systems is an essential task. This paper aims to simulate communications signals in the presence of a channel with mild nonlinearities, where it is necessary to take into account memory effects. A device is said to be memoryless when the output signal at any time sample is only a function of the input at that instant. Unfortunately, many nonlinear devices do not behave like this. Memory effects are defined as variations in the amplitude and phase of the distortion components caused by changes in modulation frequency and are attributed to thermal and electrical effects. It is necessary to emphasize the importance of obtaining an accurate model for the nonlinearities of the device, apart from using an efficient simulation method in order to achieve the best results.A number of models have been reported during the last few years to account for the effects of nonlinear distortion. Starting with the most simple representation, behavioral modeling allows a quick estimation of nonlinear performance. As an example, we can cite Saleh's model [2], which provides AM-AM and AM-PM conversions for a TWT amplifier. However, these conversion characteristics are extracted using a single-tone excitation and cannot accurately model memory effects in amplifiers. Another example of a memoryless formulation for the effects of nonlinear distortion on CDMA communication systems was presented in [3]. Considering that in mobile communications the bandwidth of each RF channel is much smaller than the carrier frequency, the RF signal can be represented as a narrowband passband signal using its complex envelope. In [3], a relation between the input and the output complex envelopes was proposed.Nevertheless, the importance of considering the memory effects on the nonlinearity recommends choosing circuit-level approaches, which present more accurate results at the cost of longer simulation times. The predominant technique of harmonic balance (HB) provides precise results, but has the disadvantage of a high computational cost due to the large number of frequency components to be considered in communication systems driven with digitally modulated signals. Another technique, envelop transient analysis [4], decouples RF and baseband spectra, thus gaining computational efficiency but retaining much of the simulation time.Other techniques to simulate nonlinear circuits have recently been ...