radar:tracking
Differences
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| radar:tracking [2018/06/05 11:13] – [Phase-Comparison Monopulse] anubaby | radar:tracking [2026/04/28 15:13] (current) – external edit 127.0.0.1 | ||
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| where λ is the wavelength. The phase difference ϕ is used to determine the angular target location.Note that if ϕ=0, then the target would be on the antenna’s main axis. The problem with this phase comparison monopulse technique is that it is quite difficult to maintain a stable measurement of the off boresight angle ϕ, which causes serious performance degradation. This problem can be overcome by implementing a phase comparison monopulse system as illustrated in Figure 14. | where λ is the wavelength. The phase difference ϕ is used to determine the angular target location.Note that if ϕ=0, then the target would be on the antenna’s main axis. The problem with this phase comparison monopulse technique is that it is quite difficult to maintain a stable measurement of the off boresight angle ϕ, which causes serious performance degradation. This problem can be overcome by implementing a phase comparison monopulse system as illustrated in Figure 14. | ||
| - | <figure label> {{: | + | <figure label> {{ : |
| The (single coordinate) sum and difference signals are, respectively, | The (single coordinate) sum and difference signals are, respectively, | ||
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| This kind of phase comparison monopulse tracker is often called the half-angle tracker. | This kind of phase comparison monopulse tracker is often called the half-angle tracker. | ||
| - | <figure label> {{: | + | <figure label> {{ : |
| - | Figure | + | Figure |
| circuitry make the phase-comparison system more susceptible to boresight change due to mechanical loading or sag, differential heating, etc. | circuitry make the phase-comparison system more susceptible to boresight change due to mechanical loading or sag, differential heating, etc. | ||
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| comparison monopulse system converted by this method, and vice versa. Therefore, the fundamental accuracy performance is addressed here from the conceptual viewpoint of amplitude comparison monopulse. | comparison monopulse system converted by this method, and vice versa. Therefore, the fundamental accuracy performance is addressed here from the conceptual viewpoint of amplitude comparison monopulse. | ||
| - | There are a variety of ways to implement monopulse processing on a sumdifference beam pair, depicted functionally in Figure | + | There are a variety of ways to implement monopulse processing on a sumdifference beam pair, depicted functionally in Figure |
| - | of these implementations, | + | of these implementations, |
| + | |||
| + | \begin{equation} | ||
| + | Im(\frac {Σ + jΔ} {Σ}) = Im|\frac{Δ}{Σ}|cosϕ) | ||
| + | \end{equation} | ||
| - | Im($\frac {Σ + jΔ} {Σ}$) = Im|$\frac{Δ}{Σ}|cosϕ)$ | ||
| Hence, they both provide the fundamental accuracy performance of full-vector monopulse processing, given by | Hence, they both provide the fundamental accuracy performance of full-vector monopulse processing, given by | ||
| - | rmse = $\frac{||{W_Δ} - f{W_Σ}||}{|f|(2x)^{\frac{1}{2}}}$ | + | \begin{equation} |
| + | rmse = \frac{||{W_Δ} - f{W_Σ}||}{|f|(2x)^{\frac{1}{2}}} | ||
| + | \end{equation} | ||
| - | <figure label> {{: | + | <figure label> {{ : |
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| signal-to-noise ratio diminishes, causing the error probability again to approach 0.5. A minimum-error probability-maximum-accuracy condition is reached for intermediate angles. | signal-to-noise ratio diminishes, causing the error probability again to approach 0.5. A minimum-error probability-maximum-accuracy condition is reached for intermediate angles. | ||
| - | The last monopulse implementation illustrated (Figure | + | The last monopulse implementation illustrated (Figure |
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