Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
A constrained least squares approach to mobile positioning: algorithms and optimality
EURASIP Journal on Applied Signal Processing
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In this paper the least squares problem of signal estimation is introduced. The Code-Division Multiple Access (CDMA) signal model is transformed into a least squares minimization form. Based on the solutions of the problem, different receiver structures are derived. Channel estimation using least-squares method is also considered. The NMSE is used as a performance measure for the estimator. The performance of the different receivers is analyzed over AWGN channel. Performance over flat fading channel is also considered with and without channel estimation. The proposed receiver is modified to accommodate detection over frequency-selective fading channels with a least-squares channel estimator block.