$A_\text{geo}$ — the intercepted power: how much of the wave the body catches
$\Gamma$ — the fraction re-radiated: materials live here (L27's RAM attacks this knob)
$D$ — how much of the echo goes back at the radar: shaping lives here
$A_\text{geo}$ and $\Gamma$ buy factors; $D$ buys orders of magnitude — L26 is built on that fact.
Block 3 · Lesson 25 · Shapes
The Canonical Shapes
Same physical size, wildly different echoes — directivity at work.
Shape
Peak $\sigma$
With aspect
Verdict
Sphere
$\pi r^2$
constant
the calibrator — identical from every angle, so it sets the reference
Flat plate
$4\pi A^2/\lambda^2$
huge spike, then collapse
loud but narrow — a searchlight you can step out of
Corner
plate-class
huge over wide angles
the disaster — it throws the echo back wherever you stand
Ogive / cone
tiny nose-on
grows off-axis
the LO nose
A 1 m$^2$ plate at X-band echoes $\sim$14,000 m$^2$ broadside — and is gone within degrees.
Block 3 · Lesson 25 · Corners
The Corner Trap
Two flat plates are survivable. Two flat plates at a right angle are not.
A dihedral retroreflects: double-bounce geometry sends energy straight back over a wide range of angles
Add a third face and the trihedral returns fire from almost anywhere — which is why they make good calibration targets
Aircraft grow corners by accident: tail-fuselage junctions, open bays, pylons, and inlets (a cavity is a corner with a grudge)
First commandment of shaping: thou shalt not present a right angle.
Block 3 · Lesson 25 · Part Two
Reading the Pattern
$\sigma$ is a function of aspect, of frequency, of polarization. Quoting one number for an aircraft is a choice about which story to tell.
Block 3 · Lesson 25 · Aspect Pattern
RCS Is a Pattern, Not a Number
Plot $\sigma$ around the compass: narrow specular spikes, tens of dB tall, where a facet faces the radar — and a deep, noisy floor everywhere else, where edges and traveling waves whisper.
Sector
Median
Mean (linear)
What it says
Nose ±30°
−19.1
−18.9
no spike in view — this is the quiet that shaping bought, and the one sector where the two agree
The max lives in the spikes; the median describes the floor a search radar sees. Quoting one number means choosing which story to tell — specs and statistics live in that gap.
Block 3 · Lesson 25 · Regimes
The Radar Gets a Vote: Frequency
$\sigma$ carries the radar's fingerprints, not just the target's.
Resonance regime ($L \sim \lambda$): the whole body rings; shaping tricks lose their grip
Rayleigh regime ($L \ll \lambda$): only gross size matters
Polarization matters too: edges and wires favour one polarization over the other
This is why VHF early-warning radars are the counter-LO play from B1 — they drag a shaped target toward resonance.
Block 3 · Lesson 25 · The Payoff
Where This Is Headed: What a dB of RCS Buys
Why fight for every dB? Because Block 1's fourth-power law now pays us: $R_{\max} \propto \sigma^{1/4}$.
scale: 600 px = 700 km
Class
cut
$R_{\max}$
% of reach
EW
0 dB
700 km
100%
ACQ
0 dB
470 km
100%
TTR
0 dB
150 km
100%
L7's three ring classes against an unshaped target. The median RCS is the number that sets each radius.
Cut the median RCS by 30 dB. What happens to these three rings?
Block 3 · Lesson 25 · The Payoff
Cut 30 dB and the Rings Collapse
Same site, same radars, same waveforms. One number changed — and every ring is drawn to the same scale as before.
scale: 600 px = 700 km
Class
cut
$R_{\max}$
% of reach
EW
−30 dB
125 km
18%
ACQ
−30 dB
84 km
18%
TTR
−30 dB
27 km
18%
The fourth root treats every class alike: 10 dB would have left $\sim$56% of the reach, 30 dB leaves $\sim$18%. The IR side scaled as $\sqrt{J}$ — the RF fourth root pays half as much range per dB.
Stealth does not make you invisible — it shrinks the rings.
Block 3 · Lesson 25 · Quick Exercise
Quick Exercise / Type-along: Which Number Goes in the Spec?
Type this with me — L25_RCSPattern.csv sits beside the script in the code bundle.
M = readmatrix('L25_RCSPattern.csv');
az = M(:,1); sig = M(:,2);
nose = (az <= 30) | (az >= 330);
s = sig(nose);
mn = 10*log10(mean(10.^(s/10)));
fprintf('nose: max %.1f med %.1f mean %.1f dBsm\n', ...
max(s), median(s), mn);
fprintf('gap (mean - median): %.1f dB\n', mn - median(s));
parts = [0.03 0.004 0.012]; % three contributors, m^2
tot = sum(parts);
fprintf('budget: %.3f m^2 = %.1f dBsm\n', tot, 10*log10(tot));
The nose mean and median agree. Which sector breaks that, and by how much?
Then the budget: drop the smallest contributor. How far does the total move?
Block 3 · Lesson 25 · Quick Problem
Quick Problem: Panel Versus Sphere
A flat access panel on a fuselage side, seen by an S-band search radar, with the range’s calibration sphere for scale.
Flat conducting panel, 0.5 m × 0.4 m, so $A = 0.2$ m$^2$
S-band search radar, $\lambda = 10$ cm
Calibration sphere, radius $r = 0.4$ m
Canted off the radar’s line of sight, the panel’s spike falls 27 dB
(a) The panel’s broadside RCS, in m$^2$ and dBsm.
(b) The sphere’s RCS, in m$^2$ and dBsm. How many dB louder is the panel broadside?
(c) The canted panel’s RCS, in dBsm and m$^2$. Louder or quieter than the sphere?