radar:radarequation
Differences
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| radar:radarequation [2018/06/08 16:54] – [Derivation of Radar Equation] sidoretti | radar:radarequation [2026/04/28 15:13] (current) – external edit 127.0.0.1 | ||
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| </ | </ | ||
| - | The antenna directivity is the ratio between the power density measured in a certain point in space and the power density | + | The antenna directivity is the ratio between the power density measured in a certain point in space and the power density |
| \begin{equation} | \begin{equation} | ||
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| ^ Reality $\downarrow$ | ^ Reality $\downarrow$ | ||
| | $H_1$ | OK | Missed Detection ($1-p_D$) | | | $H_1$ | OK | Missed Detection ($1-p_D$) | | ||
| - | | $H_1$ | False Alarm ($p_{fa}$) | + | | $H_0$ | False Alarm ($p_{fa}$) |
| < | < | ||
| </ | </ | ||
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| \end{equation} | \end{equation} | ||
| - | $S_{min}$ is the minimum signal needed to detect the target with given $p_D$ and $p_{fa}$. $S_{min}$ can be expressed | + | $S_{min}$ is the minimum signal needed to detect the target with given $p_D$ and $p_{fa}$. $S_{min}$ can be expressed |
| <figure fig-2.4> | <figure fig-2.4> | ||
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| </ | </ | ||
| - | If the range is not known, there is an iterative procedure that can be used for the attenuation. | + | If the range is not known, there is an iterative procedure that can be used to compute |
| -If we have a constant specific attenuation $\alpha(R)$ (dB/Km), the attenuation factor is $A(R) = 10^{-\alpha R}$; | -If we have a constant specific attenuation $\alpha(R)$ (dB/Km), the attenuation factor is $A(R) = 10^{-\alpha R}$; | ||
| - | -The range is first computed using the radar equation without attenuation, | + | -The range is first computed using the radar equation without attenuation, |
| - | -The 2-way attenuation $A_0 = 10^{-2\alpha R_0}$ is computed considering the range R_0 (in this case the range is too great, so the attenuation will be higher than reality too), R_1 is then computed by substituting the new attenuation factor $A_0$ in the radar equation; | + | -The 2-way attenuation $A_0 = 10^{-2\alpha R_0}$ is computed considering the range $R_0$ (in this case the range is too great, so the attenuation will be higher than reality too), $R_1$ is then computed by substituting the new attenuation factor $A_0$ in the radar equation; |
| -$A_1$ is computed again using the new range $R_1$; | -$A_1$ is computed again using the new range $R_1$; | ||
| -iterate until $R_i \approx R_{i+1}$. | -iterate until $R_i \approx R_{i+1}$. | ||
| - | The convergence of the results to an acceptable value is usually fast, after 2 or 3 iterations the obtained values can be considered | + | The convergence of the results to an acceptable value is usually fast, after 2 or 3 iterations the obtained values can be considered |
| The noise captured by the antenna also depends on other phenomena in the atmosphere and on cosmic sources. In general, this noise is characterized by simply giving an antenna noise temperature $T_a$, from which the noise power can be computed as $kT_a$ (being $k$ the Boltzmann constant). This under the assumptions that the antenna is ideal, with no losses, and that the radiation pattern has no lobes pointing on the ground. Figure {{ref> | The noise captured by the antenna also depends on other phenomena in the atmosphere and on cosmic sources. In general, this noise is characterized by simply giving an antenna noise temperature $T_a$, from which the noise power can be computed as $kT_a$ (being $k$ the Boltzmann constant). This under the assumptions that the antenna is ideal, with no losses, and that the radiation pattern has no lobes pointing on the ground. Figure {{ref> | ||
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| \end{equation} | \end{equation} | ||
| - | $T_E$ is the noise produced by the device, comparing the equations (54) and (57) such noise can becomes: $\Delta P_{on} = GkT_EB$. This is the temperature referred to the input terminals of the device, if the noise power in input has a temperature $T_1$, the overall device noise temperature will be $T_1+T_E$. Hence the noise power: | + | $T_E$ characterizes |
| \begin{equation} | \begin{equation} | ||
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| ===Over The Horizon Backscattering (OTH-B)=== | ===Over The Horizon Backscattering (OTH-B)=== | ||
| - | At low frequencies (HF band), signals directed to the sky with a certain angle are reflected by the ionosphere (where the refractive index changes) towards the ground The OTH-B radar can detect signals backscattered from the target back to the ionosphere and reflected again towards the receiver (see Figure {{ref> | + | At low frequencies (HF band), signals directed to the sky with a certain angle are reflected by the ionosphere (where the refractive index changes) towards the ground. The OTH-B radar can detect signals backscattered from the target back to the ionosphere and reflected again towards the receiver (see Figure {{ref> |
| <figure fig-2.31> | <figure fig-2.31> | ||
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| <figure duga> | <figure duga> | ||
| {{ : | {{ : | ||
| - | < | + | < |
| </ | </ | ||
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| One important characteristic of OTH-B radars is the poor resolution. Nowadays these radars are only used when precision is not needed, being less expensive than satellites. OTH-B radars built during the cold war, instead, were built because there was no better technology at the time, now for such military purposes, the use of satellites has made radars like the Duga obsolete. | One important characteristic of OTH-B radars is the poor resolution. Nowadays these radars are only used when precision is not needed, being less expensive than satellites. OTH-B radars built during the cold war, instead, were built because there was no better technology at the time, now for such military purposes, the use of satellites has made radars like the Duga obsolete. | ||
| - | Another way of exploiting the change of refractive index id the conduct effect (Figure {{ref> | + | Another way of exploiting the change of refractive index is the conduct effect (Figure {{ref> |
| <figure fig-2.35> | <figure fig-2.35> | ||
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