Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a recent paper [A. S. Cacciapuoti  et   al. , ldquoFinite-Sample Performance Analysis of Widely Linear Multiuser Receivers in DS-CDMA Systems, IEEE Transactions on Signal Processing, vol. 56, no. 4, pp. 1572-1588, Apr. 2008],  presented the finite-sample theoretical performance comparison beten linear (L) and widely linear (WL) minimum output-energy (MOE) receivers for direct-sequence code-division multiple-access (DS-CDMA) systems, worked out under the assumption that the channel impulse response of the desired user is exactly known. The main scope of this paper is to extend such an analysis, taking into account not only autocorrelation matrix (ACM) estimation effects, but also the accuracy of subspace-based blind channel estimation (CE).  aim to ansr the two following questions:  Which   of   the   two   estimation   processes   (ACM   or   CE)   is   the   main   source   of   degradation   when   implementing   the   receivers   on   the   basis   of   a   finite   sample-size?   Compared   with   the   L-MOE   one,   is   the   finite-sample   WL-MOE   receiver   with   blind   CE   capable   of   achieving   the   performance   gains   predicted   by   the   theory?  To this goal, simple and easily interpretable formulas are developed for the signal-to-interference-plus-noise ratio (SINR) at the output of the L- and WL-MOE receivers with blind CE, when they are implemented using either the sample ACM or its eigendecomposition. In addition, the derived formulas, which are validated by simulations, allow one to recognize and discuss interesting tradeoffs beten the main parameters of the DS-CDMA system.
['Angela Sara Cacciapuoti', 'Giacinto Gelli', 'Luigi Paura', 'Francesco Verde']
I am writing a research paper on a idea Widely Linear Versus Linear Blind Multiuser Detection With Subspace-Based Channel Estimation: Finite Sample-Size Effects
[{"from": "human", "value": "I am writing a research paper on a idea Widely Linear Versus Linear Blind Multiuser Detection With Subspace-Based Channel Estimation: Finite Sample-Size Effects"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a recent paper [A. S. Cacciapuoti  et   al. , ldquoFinite-Sample Performance Analysis of Widely Linear Multiuser Receivers in DS-CDMA Systems, IEEE Transactions on Signal Processing, vol. 56, no. 4, pp. 1572-1588, Apr. 2008],  presented the finite-sample theoretical performance comparison beten linear (L) and widely linear (WL) minimum output-energy (MOE) receivers for direct-sequence code-division multiple-access (DS-CDMA) systems, worked out under the assumption that the channel impulse response of the desired user is exactly known. The main scope of this paper is to extend such an analysis, taking into account not only autocorrelation matrix (ACM) estimation effects, but also the accuracy of subspace-based blind channel estimation (CE).  aim to ansr the two following questions:  Which   of   the   two   estimation   processes   (ACM   or   CE)   is   the   main   source   of   degradation   when   implementing   the   receivers   on   the   basis   of   a   finite   sample-size?   Compared   with   the   L-MOE   one,   is   the   finite-sample   WL-MOE   receiver   with   blind   CE   capable   of   achieving   the   performance   gains   predicted   by   the   theory?  To this goal, simple and easily interpretable formulas are developed for the signal-to-interference-plus-noise ratio (SINR) at the output of the L- and WL-MOE receivers with blind CE, when they are implemented using either the sample ACM or its eigendecomposition. In addition, the derived formulas, which are validated by simulations, allow one to recognize and discuss interesting tradeoffs beten the main parameters of the DS-CDMA system."}]