radar:tracking
Differences
This shows you the differences between two versions of the page.
| radar:tracking [2018/06/05 11:05] – [Phase-Comparison Monopulse] anubaby | radar:tracking [2026/04/28 15:13] (current) – external edit 127.0.0.1 | ||
|---|---|---|---|
| Line 236: | Line 236: | ||
| - | 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 | + | 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 |
| - | <figure label> {{: | + | <figure label> {{ : |
| The (single coordinate) sum and difference signals are, respectively, | The (single coordinate) sum and difference signals are, respectively, | ||
| - | Σ(ϕ) = ${s_1} + {s_2}$ | + | \begin{equation} |
| + | Δ(ϕ) = {s_1} - {s_2} | ||
| + | \end{equation} | ||
| - | Δ(ϕ) = ${s_1} - {s_2}$ | ||
| where the ${s_1}$ and ${s_2}$ are the signals in the two elements. Now, since and have similar amplitude ${s_1}$ and ${s_2}$ are different in phase by ϕ, we can write | where the ${s_1}$ and ${s_2}$ are the signals in the two elements. Now, since and have similar amplitude ${s_1}$ and ${s_2}$ are different in phase by ϕ, we can write | ||
| - | ${s_1} = {s_2}e^{-jϕ}$ | + | \begin{equation} |
| + | {s_1} = {s_2}e^{-jϕ} | ||
| + | \end{equation} | ||
| It follows that | It follows that | ||
| - | Δ(ϕ) = ${S_2}(1 - e^{-jφ})$ | + | \begin{equation} |
| + | Δ(ϕ) = {S_2}(1 - e^{-jφ}) | ||
| + | \end{equation} | ||
| + | |||
| + | \begin{equation} | ||
| + | Σ(ϕ) = {S_2}(1 + e^{-jφ}) | ||
| + | \end{equation} | ||
| - | Σ(ϕ) = ${S_2}(1 + e^{-jφ})$ | ||
| The phase error signal is computed from the ratio $\frac{Δ}{Σ}$. More precisely, | The phase error signal is computed from the ratio $\frac{Δ}{Σ}$. More precisely, | ||
| - | $\frac{Δ}{Σ}$ = $\frac{1-e^{-jφ}}{1 + e^{-jφ}}$ = jtan($\frac{ϕ}{2})$ | + | \begin{equation} |
| + | \frac{Δ}{Σ}$= \frac{1-e^{-jφ}}{1 + e^{-jφ}} = jtan(\frac{ϕ}{2}) | ||
| + | \end{equation} | ||
| which is purely imaginary. The modulus of the error signal is then given by | which is purely imaginary. The modulus of the error signal is then given by | ||
| - | $\frac{|Δ|}{|Σ|}$ = tan($\frac{ϕ}{2})$ | + | \begin{equation} |
| + | \frac{|Δ|}{|Σ|} = tan(\frac{ϕ}{2}) | ||
| + | \end{equation} | ||
| 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 boresightchange | + | circuitry make the phase-comparison system more susceptible to boresight change |
| Line 282: | Line 297: | ||
| 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> {{ : |
| Line 297: | Line 317: | ||
| 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 |
radar/tracking.1528196718.txt.gz · Last modified: (external edit)
