Chapter 2. Methods of Direction-of-Arrival Estimation
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Matlab Simulations
In this section, before starting the measurements, we validate the different DoA estimation algorithms we have built. We compare between Bartlett, Capon, MUSIC and ESPRIT, and see if the results meet the expectations. All the following results are obtained via simulations through Matlab. We simulate array data of a 19-element UCA with a radius of one wavelength. Four non-coherent sources, located at four different positions, transmit 29 samples of pseudorandom code at a carrier frequency of 2.45GHz. All the results are averaged over 50 realizations. Figure 2.15 shows the mean estimation error for Bartlett, Capon, MUSIC and ESPRIT at a SNR of 13dB. We see that Bartlett performs the worst and that ESPRIT is the most reliable DoA estimation method. Capon shows an acceptable mean error of approximately one degree. MUSIC and ESPRIT both show very good performance results, as their mean estimation error is smaller than one degree. We conclude that these results are fully in line with expectations.
Figure 2.15: Comparison of the mean estimation error. From left to right: Bartlett, Capon, MUSIC and ESPRIT.