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Figure 3 | EURASIP Journal on Advances in Signal Processing

Figure 3

From: Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array

Figure 3

The estimation bias and RMSE of the direction-cosines estimates versus signal-to-noise ratio (SNR). (a) for two incident sources, at digital frequencies f 1 = 0 . 2565 and f 2 =0.3665, respectively with (θ1,1, θ2,1, θ3,1, θ4,1) = (30°, 60°, 45°, 54°) and (θ1,2, θ2,2, θ3,2, θ4,2) = (20°, 80°, 63°, - 90°) CVC denotes the conventional vector-cross productalgorithm while EVC symbolizes the proposed algorithm. The case (i) in Figure 2 is used. The inter-sensor spacing Δ x = Δ y = 10λ, λ = min{λ1, λ2}; (b) for three incident sources, at digital frequencies f 1 =0.1055, f 2 =0.2565, f 3 =0.4315, respectively with (θ1,1, θ2,1, θ3,1, θ4,1) = (40°, 20°, 45°, 90°), (θ1,2, θ2,2, θ3,2, θ4,2) = (30°, 60°, 63°, 54°) and (θ1,3, θ2,3, θ3,3, θ4,3) = (20°, 80°, 45°, - 90°). The inter-sensor spacing Δ x = Δ y = 10λ, λ = min{λ1, λ2, λ3}.

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