Block 1 · Lesson 3 · Where We Left Off
L1 hinted: $R_{\max} \propto \sigma^{1/4}$.
L2 gave us one-way FSPL: $L_{\text{fs}} \propto (R/\lambda)^{2}$.
Block 1 · Lesson 3 · Objectives
By the end of this lesson, you will be able to:
Block 1 · Lesson 3 · Part One
Power bookkeeping over a two-way path. Nothing in the derivation is new — it is L2's spreading loss, applied twice.
Block 1 · Lesson 3 · Two-Way Path
L2 was a transmitter and a receiver. Radar adds a passive target in between.
Block 1 · Lesson 3 · Derivation
Block 1 · Lesson 3 · The Equation
Detection threshold: $P_r \geq S_{\min}$. Solving at equality:
Block 1 · Lesson 3 · Part Two
Everything in the equation is fourth-rooted before it reaches range. That is brutal on the radar designer and merciful to the target.
Block 1 · Lesson 3 · Cost of Each Term
| Term | Who controls it | Engineering cost |
|---|---|---|
| $P_t$ | Radar designer | Prime power, cooling, hardware |
| $G_t, G_r$ | Radar designer | Antenna aperture, mechanical size |
| $\lambda$ | Mission planner | Band selection (atmosphere, hardware) |
| $\sigma$ | Aircraft designer | Shape, materials, EMCON |
| $S_{\min}$ | Radar designer | Receiver design, BW, integration |
Block 1 · Lesson 3 · Fourth-Power Law
Block 1 · Lesson 3 · Worked Example
Block 1 · Lesson 3 · Worked Example
Same radar, same band, same receiver. Only $\sigma$ changes — from the fighter's 1 m$^{2}$ to roughly $-30$ dBsm.
L3_RadarRangeEquation.mBlock 1 · Lesson 3 · Type-along
Laptops open, MATLAB up. One anonymous function and four one-line experiments.
Block 1 · Lesson 3 · Quick Exercise
Type this with me. One anonymous function, four one-line experiments.
Rmax = @(Pt,Gt,Gr,lam,sig,Smin) ((Pt*Gt*Gr*lam^2*sig)/((4*pi)^3*Smin))^(1/4);
Pt = 1e6; Gt = 1e3; Gr = 1e3; lam = 0.1; sig = 1; Smin = 1e-16;
R0 = Rmax(Pt,Gt,Gr,lam,sig,Smin);
fprintf('Baseline: R_max = %.0f km\n\n', R0/1000);
name = {'RCS / 16','Power x 4','Gains x 2 each','S_min / 4'}; R = zeros(1,4);
R(1) = Rmax(Pt,Gt,Gr,lam,sig/16,Smin);
R(2) = Rmax(4*Pt,Gt,Gr,lam,sig,Smin);
R(3) = Rmax(Pt,2*Gt,2*Gr,lam,sig,Smin);
R(4) = Rmax(Pt,Gt,Gr,lam,sig,Smin/4);
dTerm = 10*log10([1/16 4 4 4]);
for k = 1:4
fprintf('%-15s dTerm = %+6.2f dB R_max = %4.0f km dR_max = %+5.2f dB\n', ...
name{k}, dTerm(k), R(k)/1000, 10*log10(R(k)/R0));
end
Three of these four rows are the radar spending real money. What do you notice?
Which lever would you rather own — and which one do you have to keep buying?
Block 1 · Lesson 3 · Wrap-Up