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Table 1.
Performance quality of the ML estimator relative to the Cramér–Rao bound expressed in terms of the indicator 
from the result in Theorem 3.
| Position xc | S/N = 12 | S/N = 32 | S/N = 120 | S/N = 230 |
|---|---|---|---|---|
| x0 | 3.8% | 0.34% | 0.032% | 0.010% |
| x0 ‒ 0.2 ∗ σ | 4.1% | 0.27% | 0.014% | 0.009% |
| x0 ‒ 0.4 ∗ σ | 4.3% | 0.19% | 0.022% | 0.007% |
| x0 ‒ 0.6 ∗ σ | 3.8% | 0.29% | 0.019% | 0.009% |
| x0 ‒ 0.8 ∗ σ | 3.9% | 0.30% | 0.022% | 0.011% |
| x0 ‒ σ | 3.6% | 0.40% | 0.019% | 0.008% |
Notes. The results are presented for different positions of the object 
(rows) and for different S/N ∈ {12, 32, 120, 230} (columns).
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