Assume that two uncorrelated sources from {-32.2[degrees], -11.5[degrees]} and two coherent sources from {6.7[degrees], 23.4[degrees]} with fading coefficients [1,0.2891 - 0.7567j] impinge on this ULA.
Consider two coherent sources from 10.1[degrees] and 10.1[degrees] + [DELTA][theta] with the angular separation [DELTA][theta] ranging from 3[degrees] to 10[degrees].
In this paper, we develop a DOA estimation algorithm for a mixture of uncorrelated and coherent sources using SBI.
Wang, "Real-valued DOA estimation for a mixture of uncorrelated and coherent sources via unitary transformation," Digital Signal Processing, vol.
Caption: Figure 9: RMSE versus angular separation with the fixed SNR 10 dB and number of snapshots 500 for coherent sources.
The performance of the proposed method is also evaluated by considering noncoherent and/or coherent sources. Furthermore, the improvement in performance is also investigated by using more than one snapshot of the received signals.
The same effect is also investigated by considering two coherent sources. The sources are located at ([[theta].sub.1] = 70[degrees], [[phi].sub.1] = 50[degrees]) and ([[theta].sub.2] = 80[degrees], [[phi].sub.2] = 60[degrees]).
Effect on Standard Deviation (STD) in the Presence of Noncoherent and Coherent Sources Together.
The scatter plot is also obtained for the proposed method in the presence of noncoherent and coherent sources separately.
Two coherent sources are located at ([[theta].sub.1] = 40[degrees], [[phi].sub.1] = 50[degrees]) and ([[theta].sub.2] = 60[degrees], [[phi].sub.2] = 70[degrees]), and SNR = 0 dB.