http://nova.newcastle.edu.au/vital/access/services/Feed ${session.getAttribute("locale")} 5 http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:8680 The successful operation of CDMA systems depend on the use of power control. This is needed to address the "near far" effect and to mitigate the effects of fading. Other factors also impact on the achievable performance of the power control loop including the fact that only the sign of the power increments are transmitted. The paper presents new methods and results to improve control with respect to the latter strongly non-linear effect. An adaptive control architecture, having three degrees of freedom, is therefore proposed for inner loop power control. The three degrees of freedom are used to address errors resulting from (i) channel and interference variations, (ii) quantization of the power increments and (iii) saturation of the power increments. Simulations show that the proposed controller outperforms other related schemes. A major reason for this is the ability of the three degree of freedom controller to reduce the variation of the control signal to be quantized. 2013-02-06T22:59:05.637Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:8020 In this paper, an errors-in-variables (EIV) method is applied to the problem of model estimation for noise cancellation in transient electromagnetic mineral exploration. The algorithm exploits the non-stationary nature of the data. Alternative methods for noise cancellation in these systems rely on specific signal characteristics, and are thus less readily transferable to other applications. The proposed method produces a model that agrees well with those obtained by alternative methods and has similar noise cancellation performance. This is shown by performance comparisons on experimental data. 2011-07-01T03:12:17.628Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:6034 In this paper, we apply a non-stationary errors-in-variables model estimation technique to a problem arising in transient electromagnetic mineral exploration. The proposed technique is used to estimate a model which is deployed for noise cancellation. Alternative methods for noise cancellation in these systems rely on specific signal characteristics, and are thus not readily transferable to other applications. The proposed technique produces an estimated model that agrees well with those obtained using alternative methods, and achieves noise reduction levels similar to those achieved via the alternative methods. This is shown by performance comparisons on experimental data. An advantage of the proposed technique is that it is more readily transferable to other applications. 2010-06-17T00:40:01.255Z ]]>