1. PRESENTATION

The Bistatic Synthetic Aperture Radar (BSAR) configurator BSARConf aims to provide a simple but comprehensive tool to visualize bistatic SAR system geometric configurations together with the calculation of some useful resulting parameters. The main ojective of this tool is to provide a configurator for the design of some future potential bistatic SAR missions. In addition to its operational objective, the BSAR configurator tool offers a didactic approach to the SAR systems geometry in a general way with its 3D representation and the possibility to visualize the impact of the variation of one parameter to the potential result of the final SAR image.

1.1 The BSARconf interface

The main page of the BSAR configurator allows to first, visualize in a 3D scene the transmitter and receiver geometry defined by their carrier and antenna objects, respectively. The transmitter and receiver antenna beams are respectively colored white and black in order to distinguish them. The transmitter parameters can be modified by clicking the Tx button on the upper left corner and the receiver parameters can be modified by clicking the Rx button on the upper right corner.

1.2 The BSARconf parameters

1.2.1 Input parameters

1.2.2 Information parameters

1.2.3 Information plots

2. PHYSICAL BACKGROUND

2.1 Geometry

2.1.1 Referential

Local ENU referential
Figure 1 - Illustration of the local ENU referential plane of point $P$ with longitude $\lambda$, latitude $\phi$ and altitude $H$ relative to the Earth ellipsoid surface.

In order to remain as general as possible, the referential plane of the bistatic SAR configurator is taken as the local tangent East North Up (ENU) plane relative to the point of interest $P$. Figure 1 above illustrates the local ENU referential plane (green) relative to point of interest $P$ at a given longitude $\lambda$, latitude $\phi$ and altitude $H$ above the Earth referential ellipsoid. Axes $\hat{e}$, $\hat{n}$ and $\hat{u}$ of the local ENU referential form an orthonormal reference frame whose $\hat{e}$-axis is tangent to the local parallel and positive toward increasing longitude, $\hat{n}$-axis is tangent to the local meridian and positive toward increasing latitude and $\hat{u}$-axis follows the outgoing local normal to the Earth ellipsoid. More information about local tangent plane coordinates can be found on the Wikipedia page: Local tangent plane coordinates.

This referential frame centered on point of interest $P$ forms the main referential of the bistatic SAR configurator geometry. Each geometric parameter is thus expressed relative to this referential frame following the same color code and is illustrated on Figure 2 below. Realistic geometric configurations can thus be used by converting them into the local ENU plane relative to the point of interest.
Each axis of the BSAR configurator referential frame have a length of 500 m and a grid helper is superimposed in light grey spaced of 500 m in both east and north directions. The extent of the depicted referential plane is of 30 km in each direction.

BSAR configurator referential frame
Figure 2 - Illustration of the main referential frame of the Bistatic SAR configurator geometry. Each axis is 500 m long, the light grey grid helper has a spacing of 500 m in both directions and the extent of the referential plane is 30 km in both directions.

2.1.2 Carrier

2.1.3 Antenna

2.1.4 Bistatic system

2.2 BSAR resolutions and design

2.2.1 Transmitted signal

The signal classically used in SAR imaging is a Linear Frequency Modulated (LFM) signal, also known as a linear chirp. This signal offers the advantage, after application of a matched filter, to improve the range resolution of the received signal (despite the intrinsic low range resolution of the radar) while maximising the Signal-to-Noise Ratio (SNR) of the system (the received useful signal can be extracted from high relative noise). For each transmitted pulse, the transmitted signal takes the form: $$ s_T(u,t)=\sqrt{P_T(u,t)}\Pi\left(\dfrac{t}{T_p}\right) \exp\left[\mathrm{j}2\pi\left(f_0t+\dfrac{K}{2}t^2\right)\right] $$ where variable $u$ denotes the slow-time (relative to the Pulse Repetition Inverval, PRI) and variable $t$ denotes the fast-time (relative to the electromagnetic wave propagation time) of the transmitted wave. Function $\Pi(t)$ is the rectangular window function and other parameters are given by:where parameter $c$ is the electromagnetic wave propagation celerity (generally taken as the speed of light in vacuum). The LFM signal frequency is thus expressed by: $$ f(t)=\dfrac{1}{2\pi}\dfrac{d\phi(t)}{dt}=f_0+Kt $$ with $\phi(t)$ being the LFM signal phase. This frequency varies linearly as function of fast-time, hence the terminology of linear frequency modulation of the transmitted signal. One important parameter of this kind of signal is the transmitted bandwidth $B$, that is, the frequency range swept by the linear frequency modulation. This bandwidth is given by: $$ B=\left\vert K\right\vert T_p\quad\quad\mbox{[Hz]} $$

2.2.2 Generalized Ambiguity Function

Bistatic SAR geometry
Figure 3 - Illustration of the Bistatic SAR geometry in the local ENU frame.
The Bistatic SAR system response can be characterized by its BSAR bisector vector $\overrightarrow{\beta}(u_0)$ together with its corresponding first time derivative $\dot{\overrightarrow{\beta}}(u_0)$ known as the BSAR angular velocity vector in the Stop-and-Go (SG) approximation for a point scatterer at a given slow-time $u_0$. Both vectors are illustrated on Figure 3 above in the local ENU frame where transmitter geometry is depicted in white and receiver geometry in black. Those vectors are expressed by, respectively: $$\left\{ \begin{array}{rcl} \overrightarrow{\beta}(u_0) & = & \widehat{u_{TP}}(u_0)+\widehat{u_{RP}}(u_0) \\ \dot{\overrightarrow{\beta}}(u_0) & = & -\left[\dfrac{\overrightarrow{V_T}(u_0)-\left(\widehat{u_{TP}}(u_0)\cdot\overrightarrow{V_T}(u_0)\right)\widehat{u_{TP}}(u_0)}{R_{TP}(u_0)}+ \dfrac{\overrightarrow{V_R}(u_0)-\left(\widehat{u_{RP}}(u_0)\cdot\overrightarrow{V_R}(u_0)\right)\widehat{u_{RP}}(u_0)}{R_{RP}(u_0)}\right] \end{array}\right. $$ with the bistatic angle of the BSAR system derived from the BSAR bisector vector: $$ \beta(u_0)=2\mathrm{arccos}\left(\left\Vert\overrightarrow{\beta}(u_0)\right\Vert/2\right) $$ The complex Generalized Ambiguity Function (GAF), also known as the Point Spread Function (PSF), can thus be derived by supposing a narrowband transmitted signal, a linear flight path around slow-time $u_0$, isotropic antennas and by neglecting the signal attenuation to distances. Calculations of this derivation are not presented here but are mainly inspired from []. The complex bistatic GAF is finally given by: $$ \chi_P(\vec{r})\simeq\mathrm{sinc}\left(\dfrac{B}{c}\overrightarrow{\beta}(u_0)\cdot\vec{r}\right) \mathrm{sinc}\left(\dfrac{T_u}{\lambda_0}\dot{\overrightarrow{\beta}}(u_0)\cdot\vec{r}\right) \exp\left(\mathrm{j}\frac{2\pi}{\lambda_0}\overrightarrow{\beta}(u_0)\cdot\vec{r}\right) $$ where $\mathrm{sinc}(z)$ is the normalized sinus cardinal function. It must be pointed out that the previous expressions of the BSAR bisector and angular velocity vectors are given in the slant radar geometry. The ground bistatic GAF is given by: $$ \chi_{P,g}(\vec{r})\simeq\mathrm{sinc}\left(\dfrac{B}{c}\overrightarrow{\beta_g}(u_0)\cdot\vec{r}\right) \mathrm{sinc}\left(\dfrac{T_u}{\lambda_0}\dot{\overrightarrow{\beta_g}}(u_0)\cdot\vec{r}\right) \exp\left(\mathrm{j}\frac{2\pi}{\lambda_0}\overrightarrow{\beta_g}(u_0)\cdot\vec{r}\right) $$ for which vectors are expressed in the ground geometry, that is, if $\hat{n}$ is the unit local normal of the surface at point $P$ on the ground: $$ \left\{ \begin{array}{rcl} \overrightarrow{\beta_g}(u_0) & = & \overrightarrow{\beta}(u_0)-\left(\overrightarrow{\beta}(u_0)\cdot\hat{n}\right)\hat{n} \\ \dot{\overrightarrow{\beta_g}}(u_0) & = & \dot{\overrightarrow{\beta}}(u_0)-\left(\dot{\overrightarrow{\beta}}(u_0)\cdot\hat{n}\right)\hat{n} \end{array} \right. $$ where $\overrightarrow{\beta_g}(u_0)$, respectively $\dot{\overrightarrow{\beta_g}}(u_0)$, is the rejection of vectors $\overrightarrow{\beta}(u_0)$, respectively $\dot{\overrightarrow{\beta}}(u_0)$, with respect to the unit normal $\hat{n}$. Those vectors belongs to the plane of normal $\hat{n}$.

2.2.3 Range resolution

The BSAR system range resolution can be estimated from its GAF function

2.2.4 Lateral resolution

2.2.5 Iso-Range

Iso-range surface
Figure 4 - Illustration of the bistatic SAR slant iso-range surface (red ellipsoid) and ground iso-range contour (red ellipse) in the local ENU frame. Point $E$ is the center of the ellipsoid formed by the transmitter $T$ and receiver $R$ placed at the two foci of the ellipsoid passing through ground point $P$.

2.2.6 Iso-Doppler

$$ f_D(\vec{r};u_0)\simeq\dfrac{1}{\lambda_0}\left(V_T(u_0)\sin\left[\gamma_T(u_0)\right]+ V_R(u_0)\sin\left[\gamma_R(u_0)\right]\right)\quad\quad\mbox{[Hz]} $$ $$ K_D(\vec{r};u_0)\simeq-\dfrac{1}{\lambda_0}\left( \dfrac{V_T^2(u_0)\cos^2\left[\gamma_T(u_0)\right]}{R_T(u_0)}+ \dfrac{V_R^2(u_0)\cos^2\left[\gamma_R(u_0)\right]}{R_R(u_0)}\right)\quad\quad\mbox{[Hz/s]} $$ with $\gamma_T(u)$ and $\gamma_R(u)$ the antenna squint angles for the transmitter and receiver, respectively, defined as the angle between the antenna line of sight and the carrier velocity vector: $$ \sin\left[\gamma_T(u)\right]=\dfrac{\overrightarrow{V_T}(u)\cdot\overrightarrow{TP}(u)} {\left\Vert\overrightarrow{V_T}\right\Vert\left\Vert\overrightarrow{TP}(u)\right\Vert} \quad;\quad \sin\left[\gamma_R(u)\right]=\dfrac{\overrightarrow{V_R}(u)\cdot\overrightarrow{RP}(u)} {\left\Vert\overrightarrow{V_R}(u)\right\Vert\left\Vert\overrightarrow{RP}(u)\right\Vert} $$

2.2.7 Resolution area

$$ A_{res}(u_0)\simeq\dfrac{0.78481\lambda_0c}{BT_u\left\Vert\overrightarrow{\beta_g}(u_0)\wedge\dot{\overrightarrow{\beta_g}}(u_0)\right\Vert} $$

2.2.8 Noise Equivalent Sigma Zero

In order to estimate the sensitivity of the BSAR system after full processing of the SAR raw data (range and azimuth processing), the Noise Equivalent Sigma Zero (NESZ) parameter is used and corresponds to the bistatic scattering coefficient of the observed target for which the system SNR is equal to one. It is given by: $$ NESZ=\dfrac{(4\pi)^3R_T^2R_R^2kTLN}{\lambda_0^2\overline{P_T}G_TG_RT_uA_{res}} $$ where $R_T$ and $R_R$ are the transmitter-target and receiver-target ranges, respectively, $k$ is the Boltzmann constant [J/K], $T$ is the receiver temperature [K], $L$ is the transmitter loss factor and $N$ is the receiver noise factor which forms the noise power spectral density or noise power per unit bandwidth: $kTLN$ [W/Hz] of the system. Terms $G_T$ and $G_R$ represents the transmitter and receiver one-way antenna power gains, respectively, $A_{res}$ is the resolution area of the system and the mean transmitted power $\overline{P_T}$ depends on the pulse duration $T_p$ and pulse repetition interval $PRI$: $$ \overline{P_T}=\dfrac{T_p}{PRI}P_T $$ where $P_T$ is the transmitted peak power.

2.2.9 Range Ambiguities

2.2.10 Doppler Ambiguities

3. APPENDIX - MATHEMATICAL FUNCTIONS

3.1 Rectangular window function

The rectangular window function is defined by: $$ \Pi(z)=\left\{\begin{array}{ll} 1 & \mbox{if}~\vert z\vert\leq1/2 \\ 0 & \mbox{otherwise} \end{array}\right. $$

3.1 Normalized sinus cardinal function

The normalized sinus cardinal function is defined by: $$ \mathrm{sinc}(z)=\dfrac{\mathrm{sinc}(\pi z)}{\pi z} $$ which is defined in $z=0$ by its limit: $$ \lim_{z\rightarrow 0}\mathrm{sinc}(z)=1 $$

4. REFERENCES