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The start-stop approximation

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Transionospheric Synthetic Aperture Imaging

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

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Abstract

For the analysis of the SAR data inversion algorithm in Chapters 2 through 5, we have employed the start-stop approximation, which is considered standard in the literature, see, e.g., [25, 40, 76, 79] and also [86]. It assumes that the radar antenna is at standstill while it sends the interrogating pulse toward the target and receives the scattered response, after which the antenna moves down the flight track to the position where the next pulse is emitted and received.

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Notes

  1. 1.

    The same applies to the distance r that is \(R_{\boldsymbol{z}}\) evaluated at t = 0, see formula (6.8).

  2. 2.

    The line of symmetry of the beam is normal to the flight track in the case of broadside imaging that we are considering.

  3. 3.

    Formula (2.14) does not take into account the antenna radiation pattern yet, i.e., does not contain the indicator \(\chi _{\Theta }\!( \cdot )\). In Chapter 2, the indicator in the expression for the scattered field appears first in formula (2.22), after the assumption of monostatic imaging has been made, see (2.14′ ′).

  4. 4.

    There is also a third possibility, when the shorter interval falls completely inside the longer one, see, e.g., [79, Section 3A.2]. The results for this case will be essentially the same as those that we present, so we will not discuss this third case hereafter.

  5. 5.

    In the analysis of Section 2.5 that discusses the factorization error of the GAF, we disregarded all the terms higher that first order with respect to T n given by (2.74).

  6. 6.

    For the estimates in this section, we are taking the undistorted values of \(\Delta _{\text{A}}\) and \(\Delta _{\text{R}}\) obtained in Section 2.6 Later on, in Section 6.5, we will see that the difference between these values and those that take into account the antenna motion is insignificant.

  7. 7.

    For the similar factor in Section 3.5 this was not immediately the case, see formula (3.121).

  8. 8.

    For the typical values of the parameters from Tables1.1 and 1.2and for r ∼ R, we have \(r\frac{\mathfrak{v}} {c}/L_{\text{SA}} \sim 5 \cdot 10^{-4}\), which is an even smaller relative variation than the one deemed insignificant in Section 3.6, see the discussion after equation (3.138).

  9. 9.

    It is an “off-center” counterpart of the constraint | y 1z 1 | ≪ L SA that we used in Section 2.4.1 for the analysis of formula (2.53).

  10. 10.

    This is an “off-center” equivalent of the assumption | T c | ≪ τ that we used in Section 2.4.1 for the analysis of formula (2.61).

  11. 11.

    In Section 6.6, we show that if the SAR sensor operates in a regime for which \(\frac{\omega _{0}} {\alpha R} \frac{c} {2} \gg 1\), and the matched filter is not corrected for antenna motion, then it may lead to substantial image distortions, see formula (6.110).

  12. 12.

    While formula (6.34) is a mathematical model for the raw data, any real-life radar dataset will obviously be affected by the motion of the platform.

  13. 13.

    Similarly to Section 6.2, we are considering only one possible scenario, \(t_{\boldsymbol{y}}^{n}> t_{\boldsymbol{z}}^{n}\).

  14. 14.

    It is the first step of a very popular SAR processor known as the Range-Doppler Algorithm, see [79, Chapter 6].

  15. 15.

    In the space \(\mathbb{R}^{3}\), the trajectory is a horizontal straight line at altitude H, see Figure 6.1. However, its intersection with the characteristic cone needs to be interpreted as intersection in the 3 + 1-dimensional space-time, where the trajectory becomes a straight line with the slope determined by the velocity \(\mathfrak{v}\).

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Appendix 6.A Radiation by a moving source

Appendix 6.A Radiation by a moving source

Equation (6.3a) governs the radiation of waves by a moving source. It can be solved directly, i.e., by employing the fundamental solution in the original coordinates rather than by using the Lorentz-transformed coordinates (as done in Section 6.1). The fundamental solution of the d’Alembert operator on the left-hand side of equation (6.3a) (or equation (6.1)) is given by:

$$\displaystyle{ \mathcal{E}(t,\boldsymbol{z}) = \frac{\mathcal{H}(t)} {4\pi } \frac{\delta (\vert \boldsymbol{z}\vert - ct)} {t}, }$$

where \(\mathcal{H}(t)\stackrel{\text{def}}{=}\left \{\begin{array}{@{}l@{\quad }l@{}} 1,\quad &t\geqslant 0,\\ 0,\quad &t <0, \end{array} \right.\) is the Heaviside function, and \(\delta (\vert \boldsymbol{z}\vert - ct)\) is a single layer of unit magnitude on the expanding sphere of radius ct centered at the origin. Then, the solution of equation (6.3a) is obtained by convolution:

$$\displaystyle\begin{array}{rcl} u(t,\boldsymbol{z})& =& \frac{1} {4\pi }\int \limits _{-\infty }^{t}dt^{{\prime}}\iiint \limits _{ \mathbb{R}^{3}} \frac{\delta (\vert \boldsymbol{z} -\boldsymbol{ z}^{{\prime}}\vert - c(t - t^{{\prime}}))} {t - t^{{\prime}}} \\ & &\qquad \qquad \ \ \ \ \cdot P(t^{{\prime}})\delta (z_{ 1}' - \mathfrak{v}t')\delta (z_{2}' + L)\delta (z_{3}' - H)d\boldsymbol{z}' \\ & =& \frac{1} {4\pi }\int \limits _{-\infty }^{t}\frac{\delta (\vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert - c(t - t^{{\prime}}))} {t - t^{{\prime}}} P(t^{{\prime}})dt^{{\prime}} \\ & =& \frac{1} {4\pi }\int \limits _{-\infty }^{\mu (t)} \frac{\vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert \,\delta (\mu -ct)} {(c\vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert - (z_{1} - \mathfrak{v}t^{{\prime}})\mathfrak{v})(t - t^{{\prime}})}P(t^{{\prime}})d\mu.{}\end{array}$$
(6.111)

On the last line of (6.111), we have introduced a new integration variable: \(\mu =\mu (t^{{\prime}}) = \vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert + ct^{{\prime}}\equiv \sqrt{(z_{1 } - \mathfrak{v}t^{{\prime} } )^{2 } + (z_{2 } + L)^{2 } + (z_{3 } - H)^{2}} + ct^{{\prime}}\). To evaluate the last integral on the right-hand side of (6.111), one needs to find the value of t for which μ(t ) = ct, or, equivalently, for which the argument of the δ-function becomes equal to zero. Finding such t also means that one can substitute \(\vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert = c(t - t^{{\prime}})\) in the numerator, so that (6.111) reduces to

$$\displaystyle{ u(t,\boldsymbol{z}) = \frac{1} {4\pi } \frac{cP(t^{{\prime}})} {c\vert \boldsymbol{z} -\boldsymbol{ x}(t^{{\prime}})\vert - (z_{1} - \mathfrak{v}t^{{\prime}})\mathfrak{v}}\bigg\vert _{\mu (t^{{\prime}})=ct}. }$$
(6.112)

The equation μ(t ) = ct, which can be written as

$$\displaystyle{ \sqrt{(z_{1 } - \mathfrak{v}t^{{\prime} } )^{2 } + (z_{2 } + L)^{2 } + (z_{3 } - H)^{2}} + ct^{{\prime}} = ct, }$$
(6.113)

is a quadratic equation with respect to t . It is very similar to equation (6.31). The solution of equation (6.113) determines the retarded moment of time at which the trajectory of the moving antenna intersects with the lower portion of the characteristic coneFootnote 15(or light cone) that has its vertex at \((t,\boldsymbol{z})\). The appropriate root of equation (6.113) is

$$\displaystyle\begin{array}{rcl} t^{{\prime}}& =& \frac{1} {\beta ^{2}} \left (t -\frac{\mathfrak{v}z_{1}} {c^{2}} -\sqrt{\left (t - \frac{\mathfrak{v}z_{1 } } {c^{2}} \right )^{2} -\beta ^{2}\left (t^{2} -\frac{z_{1}^{2} + (z_{2} + L)^{2} + (z_{3} - H)^{2}} {c^{2}} \right )}\right ) \\ & =& \frac{\sigma } {\beta } -\frac{1} {\beta c}\sqrt{\frac{(z_{1 } - \mathfrak{v}t)^{2 } } {\beta ^{2}} + (z_{2} + L)^{2} + (z_{3} - H)^{2}} \\ & =& \frac{\sigma } {\beta } -\frac{\sqrt{\zeta _{1 }^{2 } + (z_{2 } + L)^{2 } + (z_{3 } - H)^{2}}} {\beta c} = \frac{\sigma } {\beta } - \frac{\rho } {\beta c}, {}\end{array}$$
(6.114)

where we have used the definition (6.2) of the Lorentz transform, as well as formula (6.5). Expression (6.114) for t is to be substituted into the numerator on the right-hand side of (6.112). As for the denominator of (6.112), taking into account that μ(t ) = ct we can write:

$$\displaystyle{ \begin{array}{rcl} & &c\sqrt{(z_{1 } - \mathfrak{v}t^{{\prime} } )^{2 } + (z_{2 } + L)^{2 } + (z_{3 } - H)^{2}} - (z_{1} - \mathfrak{v}t^{{\prime}})\mathfrak{v} \\ & =&c^{2}(t - t^{{\prime}}) - (z_{1} - \mathfrak{v}t^{{\prime}})\mathfrak{v} \\ & =&c^{2}t - z_{1}\mathfrak{v} - t^{{\prime}}(c^{2} - \mathfrak{v}^{2}) \\ & =&c^{2}\left (t -\frac{z_{1}\mathfrak{v}} {c^{2}} - t^{{\prime}}\beta ^{2}\right ) \\ & =&c^{2}\sqrt{\left (t - \frac{\mathfrak{v}z_{1 } } {c^{2}} \right )^{2} -\beta ^{2}\left (t^{2} -\frac{z_{1}^{2}+(z_{2}+L)^{2}+(z_{3}-H)^{2}} {c^{2}} \right )} =\beta c\rho, \end{array} }$$
(6.115)

where we have used formulae (6.2) and (6.114). Altogether, substituting (6.114) and (6.115) into (6.112), we see that the expression for \(u(t,\boldsymbol{z})\) reduces precisely to what is given by formula (6.4), as expected.

Note that equation (6.113) that defines the retarded moment of time t is so simple (quadratic) only for the case of a uniform and straightforward motion of the antenna. When the motion is accelerated and/or non-straightforward, the resulting counterpart of equation (6.113) may become far more complicated; often, it can only be solved numerically as done, e.g., in [157]. In the theory of electromagnetism, the corresponding solutions of the d’Alembert equation can be interpreted as field potentials due to moving charges, and in this case they are referred to as the Liénard-Wiechert potentials, see [106, Chapter 8].

Equation (6.113) can also be solved approximately, as done, e.g., in [156]. Given that the square root on its left-hand side is the distance between the observation point \(\boldsymbol{z} = (z_{1},z_{2},z_{3}) \in \mathbb{R}^{3}\) (location of the target) and the moving antenna at the moment of time t , we can represent this distance using the law of cosines and then derive an approximate expression with the help of the Taylor’s formula. As in Section 6.1, let \(\gamma _{\boldsymbol{z}}\) denote the angle between the velocity \(\mathfrak{v}\) and the direction from the antenna \(\boldsymbol{x}(t^{{\prime}})\) to the target \(\boldsymbol{z}\), see Figure 6.1. Also recall that \(r = \sqrt{z_{1 }^{2 } + (z_{2 } + L)^{2 } + (z_{3 } - H)^{2}}\), see formula (6.8). Then,

$$\displaystyle\begin{array}{rcl} \sqrt{ (z_{1} - \mathfrak{v}t^{{\prime}})^{2} + (z_{2} - H)^{2} + z_{3}^{2}}& =& \sqrt{r^{2 } + (\mathfrak{v}t^{{\prime} } )^{2 } - 2r\mathfrak{v}t^{{\prime} } \cos \gamma _{\boldsymbol{z}}} {}\\ & =& r\sqrt{1 - \frac{2r\mathfrak{v}t^{{\prime} } \cos \gamma _{\boldsymbol{z} } } {r} + \left (\frac{\mathfrak{v}t^{{\prime}}} {r} \right )^{2}} {}\\ & \approx & r - \mathfrak{v}t^{{\prime}}\cos \gamma _{ \boldsymbol{z}}. {}\\ \end{array}$$

In this case, equation (6.113) becomes:

$$\displaystyle{ r - \mathfrak{v}t^{{\prime}}\cos \gamma _{ \boldsymbol{z}} + ct^{{\prime}} = ct, }$$

so that its solution is

$$\displaystyle{ t^{{\prime}} = \frac{t -\frac{r} {c}} {1 -\frac{\mathfrak{v}} {c}\cos \gamma _{\boldsymbol{z}}}. }$$

Substituting this expression into formula (6.112), we arrive at the solution in the form (6.14).

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Gilman, M., Smith, E., Tsynkov, S. (2017). The start-stop approximation. In: Transionospheric Synthetic Aperture Imaging. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-52127-5_6

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