04. December 2017 - 10:00
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Array Signal Processing in Radar and Wireless Communications | Thiagarajar College of Engineering | Monday, 04. December 2017

Course Outline:
Array Fundamentals: Apertures and Arrays: linear arrays, planar arrays, Wave Number, Array Performance Measures, Introduction to Random variable and Random Process, Noise Reduction and Signal Enhancement

Estimation Theory: Mathematical Model, Minimum variance unbiased estimation, Cramer Rao Lower Bound (CRLB), Best Linear Unbiased Estimator (BLUE), Least Squares (LS), Maximum Likelihood (ML) and Maximum a Posteriori (MAP) Estimators

Linear Prediction: Levinson Recursion, Schur Algorithm,

Spectral Estimation: Non- Parametric methods: Periodogram, Bartlett, Welch and Blackman Tukey Methods, Minimum variance and Maximum Entropy, Parametric Methods: Autoregressive (AR), Moving Average (MA), ARMA,

Eigen Analysis Algorithms: Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters Via Rotational Invariant Technique (ESPRIT).

Angle of Arrival Estimation: Uniform linear array, Minimum Variance Distortionless Response (MVDR) beamformer, Generalized Side lobe canceller, Digital Beamforming

Super Resolution Array Signal Processing, Detection Theory: NP Criterion, Receiver Operating Characteristics (ROC), Binary and Multiple Hypothesis testing.

Array Signal Processing in Wireless communications: Transmit diversity, receive diversity, MIMO Systems, Bit Error Rate (BER) and Outage