Table 1.

Simulation parameters and results (signal-to-noise ratio = 13.8 dB).

Values used to generate data	ER + IR data $A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.3\hfill & \hfill -0.6\hfill & \hfill 0.3\hfill \\ \hfill 0.1\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.1\hfill \\ \hfill 0\hfill & \hfill 0.2\hfill & \hfill \lambda \hfill & \hfill -0.1\hfill \\ \hfill 0\hfill & \hfill 0.7\hfill & \hfill 0.4\hfill & \hfill \lambda \hfill \end{array}\right]$ $B=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill 0.15\hfill & \hfill \lambda \hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill -0.1\hfill & \hfill 0\hfill & \hfill \lambda \hfill \end{array}\right]$	ER data $A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.3\hfill & \hfill -0.6\hfill & \hfill 0.3\hfill \\ \hfill 0.1\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.1\hfill \\ \hfill 0\hfill & \hfill 0.2\hfill & \hfill \lambda \hfill & \hfill -0.1\hfill \\ \hfill 0\hfill & \hfill 0.7\hfill & \hfill 0.4\hfill & \hfill \lambda \hfill \end{array}\right]$
Estimates using the ER + IR model	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.325\hfill & \hfill -0.661\hfill & \hfill 0.239\hfill \\ \hfill 0.097\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.059\hfill \\ \hfill 0\hfill & \hfill 0.105\hfill & \hfill \lambda \hfill & \hfill -0.021\hfill \\ \hfill 0\hfill & \hfill 0.638\hfill & \hfill 0.3975\hfill & \hfill \lambda \hfill \end{array}\right]$ $B=\left[\begin{array}{cccc}\hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill 0.138\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill -0.029\hfill & \hfill 0\hfill & \hfill 0\hfill \end{array}\right]$ F = − 3613.2; MSE = 9.08%	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.257\hfill & \hfill 0.411\hfill & \hfill 0.240\hfill \\ \hfill 0.101\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.032\hfill \\ \hfill 0\hfill & \hfill 0.036\hfill & \hfill \lambda \hfill & \hfill 0.002\hfill \\ \hfill 0\hfill & \hfill 0.552\hfill & \hfill 0.142\hfill & \hfill \lambda \hfill \end{array}\right]$ $B=\left[\begin{array}{cccc}\hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill {0.012}^{}\hfill & \hfill 0\hfill & \hfill 0\hfill \\ \hfill 0\hfill & \hfill -{0.010}^{}\hfill & \hfill 0\hfill & \hfill 0\hfill \end{array}\right]$ F = − 3862.5; MSE = 71.13%
Estimates using the ER1 model	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.161\hfill & \hfill 0.410\hfill & \hfill 0.100\hfill \\ \hfill 0.103\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.051\hfill \\ \hfill 0\hfill & \hfill 0.074\hfill & \hfill \lambda \hfill & \hfill -0.027\hfill \\ \hfill 0\hfill & \hfill 0.685\hfill & \hfill 0.165\hfill & \hfill \lambda \hfill \end{array}\right]$ F = − 3645.3; MSE = 51.83%	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.338\hfill & \hfill -0.135\hfill & \hfill 0.523\hfill \\ \hfill 0.080\hfill & \hfill \lambda \hfill & \hfill 0\hfill & \hfill 0.009\hfill \\ \hfill 0\hfill & \hfill 0.016\hfill & \hfill \lambda \hfill & \hfill -0.023\hfill \\ \hfill 0\hfill & \hfill 0.579\hfill & \hfill 0.403\hfill & \hfill \lambda \hfill \end{array}\right]$ F = − 3855.1; MSE = 33.51%
Estimates using the ER2 model	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.176\hfill & \hfill 0.478\hfill & \hfill 0.123\hfill \\ \hfill 0.098\hfill & \hfill \lambda \hfill & \hfill {0.205}^{}\hfill & \hfill 0.041\hfill \\ \hfill {0.014}^{}\hfill & \hfill 0.031\hfill & \hfill \lambda \hfill & \hfill 0.026\hfill \\ \hfill {0.076}^{}\hfill & \hfill 0.123\hfill & \hfill 0.564\hfill & \hfill \lambda \hfill \end{array}\right]$ F = − 3653.6; MSE = 85.37%	$A=\left[\begin{array}{cccc}\hfill \lambda \hfill & \hfill 0.328\hfill & \hfill -0.024\hfill & \hfill 0.278\hfill \\ \hfill 0.139\hfill & \hfill \lambda \hfill & \hfill -{0.048}^{}\hfill & \hfill -0.019\hfill \\ \hfill {0.035}^{}\hfill & \hfill -0.065\hfill & \hfill \lambda \hfill & \hfill -0.009\hfill \\ \hfill {0.030}^{}\hfill & \hfill 0.203\hfill & \hfill 0.059\hfill & \hfill \lambda \hfill \end{array}\right]$ F = − 3902.4; MSE = 77.64%