The Radar Equation

From Power Budgets to the Forward Model

The radar equation answers the most fundamental question in radar system design: given a transmitter, an antenna, and a target at some range, how much signal power reaches the receiver?

The answer establishes the Rβˆ’4R^{-4} scaling law for monostatic radar β€” and this single fact drives every design decision from waveform bandwidth to antenna size. More importantly for our purposes, the radar equation determines the per-voxel SNR\text{SNR} in the imaging forward model y=Ac+w\mathbf{y} = \mathbf{A}\mathbf{c} + \mathbf{w}, connecting system parameters to reconstruction quality.

Definition:

Monostatic Radar Equation

For a monostatic radar (co-located transmitter and receiver) with transmit power PtP_t, antenna gain GG (used for both transmit and receive), operating at wavelength Ξ»\lambda, observing a target of radar cross-section Οƒ\sigma at range RR, the received power is:

Pr=PtG2Ξ»2Οƒ(4Ο€)3R4L,P_r = \frac{P_t G^2 \lambda^{2} \sigma}{(4\pi)^3 R^4 L},

where Lβ‰₯1L \geq 1 accounts for system losses (atmospheric attenuation, feed losses, signal processing losses).

The Rβˆ’4R^{-4} dependence arises because the signal traverses the path twice: transmit (Rβˆ’2R^{-2} spreading) and receive (Rβˆ’2R^{-2} spreading). This is much more severe than the one-way Rβˆ’2R^{-2} of communications.

Definition:

Radar Cross-Section (RCS)

The radar cross-section Οƒ\sigma of a target is the equivalent area that would scatter the incident power isotropically to produce the observed echo at the receiver:

Οƒ=lim⁑Rβ†’βˆž4Ο€R2∣Es∣2∣Ei∣2,\sigma = \lim_{R \to \infty} 4\pi R^2 \frac{|E_s|^2}{|E_i|^2},

where EiE_i is the incident field and EsE_s is the scattered field at distance RR from the target.

The RCS depends on the target's size, shape, material, and the observation angle β€” it is a function Οƒ(ΞΈ,Ο•,f)\sigma(\theta, \phi, f), not a scalar constant.

For imaging, the connection to Ch 05 is direct: the reflectivity function c(p)c(\mathbf{p}) at each voxel p\mathbf{p} encodes the scattering strength. The RCS is the far-field manifestation of cc integrated over the target's extent.

Definition:

Bistatic Radar Equation

When transmitter and receiver are at different locations, with transmit-to-target range RtR_t and target-to-receiver range RrR_r:

Pr=PtGtxGrxΞ»2Οƒb(4Ο€)3Rt2Rr2L,P_r = \frac{P_t G^{\text{tx}} G^{\text{rx}} \lambda^{2} \sigma_b}{(4\pi)^3 R_t^2 R_r^2 L},

where Οƒb\sigma_b is the bistatic RCS, which depends on both the transmit and receive directions relative to the target.

The bistatic geometry is the natural setting for multi-static RF imaging (Ch 11). The Rt2Rr2R_t^2 R_r^2 factor replaces R4R^4 in the monostatic case.

Theorem: Single-Pulse Radar SNR

For a monostatic radar with noise bandwidth WW and noise temperature TsT_s, the single-pulse signal-to-noise ratio at the matched filter output is:

SNR=PtG2Ξ»2Οƒ(4Ο€)3R4kBTsWL,\text{SNR} = \frac{P_t G^2 \lambda^{2} \sigma}{(4\pi)^3 R^4 k_B T_s W L},

where kB=1.38Γ—10βˆ’23k_B = 1.38 \times 10^{-23} J/K is Boltzmann's constant. Equivalently, in terms of pulse energy Ep=PtTpE_p = P_t T_p:

SNR=EpG2Ξ»2Οƒ(4Ο€)3R4kBTsLβ‹…1WTp.\text{SNR} = \frac{E_p G^2 \lambda^{2} \sigma}{(4\pi)^3 R^4 k_B T_s L} \cdot \frac{1}{W T_p}.

For a matched filter, WTpβ‰ˆ1W T_p \approx 1, giving SNR∝Ep\text{SNR} \propto E_p.

The SNR is the ratio of received signal energy to noise energy in the matched-filter bandwidth. It is the energy-per-pulse divided by the noise power spectral density (kBTsk_B T_s), scaled by the geometry (G2Ξ»2Οƒ/R4G^2 \lambda^{2} \sigma / R^4).

Example: Maximum Detection Range Calculation

A ground-based surveillance radar operates with Pt=100P_t = 100 kW, G=33G = 33 dBi, Ξ»=10\lambda = 10 cm (f0=3f_0 = 3 GHz), Ts=500T_s = 500 K, W=1W = 1 MHz, and system losses L=6L = 6 dB. Compute the maximum range at which a target with Οƒ=1\sigma = 1 m2^2 can be detected with SNRmin⁑=13\text{SNR}_{\min} = 13 dB.

Definition:

Swerling Target Models

Swerling models describe the statistical fluctuation of the RCS Οƒ\sigma for different target types:

  • Swerling 0 (non-fluctuating): Οƒ\sigma is constant.
  • Swerling I: Οƒ\sigma is exponentially distributed (ΟƒβˆΌExp(1/ΟƒΛ‰)\sigma \sim \text{Exp}(1/\bar{\sigma})), constant across pulses within a CPI (scan-to-scan fluctuation).
  • Swerling II: Same distribution as I, but independent pulse-to-pulse.
  • Swerling III: Οƒ\sigma follows a chi-squared distribution with 4 DOF (one dominant scatterer plus many small ones), constant within CPI.
  • Swerling IV: Same as III, pulse-to-pulse independent.

The exponential distribution of Swerling I arises from the central limit theorem applied to a target composed of many scatterers of comparable strength β€” the resultant complex amplitude is CN(0,ΟƒΛ‰)\mathcal{CN}(0, \bar{\sigma}), giving ∣amplitude∣2∼Exp|\text{amplitude}|^2 \sim \text{Exp}.

RCS and the Contrast Function

In Ch 05, we introduced the contrast function Ο‡(p)=(Ο΅(p)βˆ’Ο΅b)/Ο΅b\chi(\mathbf{p}) = (\epsilon(\mathbf{p}) - \epsilon_b)/\epsilon_b that describes how the permittivity deviates from the background. Under the Born approximation, the scattering amplitude is proportional to Ο‡\chi. The far-field RCS Οƒ\sigma is the integrated squared magnitude of Ο‡\chi weighted by the incident field pattern β€” it is the "zero-resolution" version of the reflectivity map.

This connection is central: the radar equation gives us the per-voxel SNR\text{SNR} that determines how well the reconstruction algorithms of Parts IV-VI can recover c(p)c(\mathbf{p}).

Radar Equation β€” Detection Range vs. Parameters

Explore how transmit power, antenna gain, RCS, and frequency affect the maximum detection range. The Rβˆ’4R^{-4} law means doubling range requires 16x more power (12 dB).

Parameters
100
33
0
3
⚠️Engineering Note

System Losses in the Radar Equation

The loss factor LL in the radar equation aggregates many contributions that each degrade the effective SNR\text{SNR}:

  • Atmospheric losses (0.01-10 dB/km depending on frequency and weather; rain is severe above 10 GHz).
  • Feed and waveguide losses (0.5-2 dB typical).
  • Beam shape loss (1.6 dB for a uniformly illuminated circular aperture scanning over a beam).
  • Processing losses (straddling loss 0.5-1 dB, CFAR loss 1-3 dB, weighting loss 1-2 dB).
  • Integration loss if non-coherent integration is used instead of coherent.

A typical total system loss budget is 8-15 dB. Underestimating LL is the most common source of optimistic range predictions.

Definition:

SNR for Extended Targets

An extended target occupies multiple resolution cells. The received power from a single resolution cell of extent Ξ”R×Δθ\Delta R \times \Delta \theta is:

Prcell=PtG2Ξ»2Οƒ0Ξ”A(4Ο€)3R4L,P_r^{\text{cell}} = \frac{P_t G^2 \lambda^{2} \sigma^0 \Delta A}{(4\pi)^3 R^4 L},

where Οƒ0\sigma^0 is the normalized RCS (reflectivity per unit area, dimensionless) and Ξ”A=RΔθ⋅ΔR\Delta A = R \Delta\theta \cdot \Delta R is the cell area on the ground.

For imaging, each pixel in the reconstructed image corresponds to one or more resolution cells. The per-pixel SNR\text{SNR} determines the image quality.

Historical Note: Origins of the Radar Equation

1940s

The radar equation in its modern form was first systematically developed during World War II by engineers at MIT's Radiation Laboratory. The "Rad Lab" series of 28 volumes, published in 1947, codified the radar equation and established the Rβˆ’4R^{-4} law that still governs radar design. Louis Ridenour's Radar System Engineering (Vol. 1) contains the earliest published derivation.

The concept of radar cross-section emerged from the need to characterize targets independently of the radar system β€” a nontrivial intellectual step, since RCS depends on observation angle, frequency, and polarization.

Common Mistake: The Fourth-Root Trap

Mistake:

Assuming that doubling transmit power doubles the detection range.

Correction:

Because SNR∝Rβˆ’4\text{SNR} \propto R^{-4}, doubling PtP_t increases the maximum range by only a factor of 21/4β‰ˆ1.192^{1/4} \approx 1.19 (a mere 19% improvement). To double the range, one must increase PtP_t by a factor of 16 (12 dB). This is why antenna gain (Rmax⁑∝G1/2R_{\max} \propto G^{1/2}) and coherent integration (Rmax⁑∝Np1/4R_{\max} \propto N_p^{1/4}) are more effective ways to extend range.

Radar Cross-Section (RCS)

The effective area Οƒ\sigma (in m2^2) of a target that would scatter incident power isotropically to produce the observed echo. Depends on target geometry, material, frequency, and observation angle. Commonly expressed in dBsm (10log⁑10(Οƒ/1 m2)10\log_{10}(\sigma/1\,\text{m}^2)).

Monostatic Radar

A radar system where the transmitter and receiver share the same antenna or are co-located. Most conventional radars are monostatic. The monostatic RCS is the backscatter cross-section.

Quick Check

A radar doubles its antenna gain (3 dB increase in GG). By what factor does the maximum detection range increase, assuming all other parameters remain the same?

2β‰ˆ1.41\sqrt{2} \approx 1.41

22

21/4β‰ˆ1.192^{1/4} \approx 1.19

44

Why This Matters: From the Friis Equation to the Radar Equation

The radar equation is the "round-trip Friis equation." In communications, the one-way Friis equation gives received power as Pr=PtGtGrΞ»2/[(4Ο€R)2L]P_r = P_t G_t G_r \lambda^{2} / [(4\pi R)^2 L], scaling as Rβˆ’2R^{-2}. Radar doubles this path: transmit to target (Rβˆ’2R^{-2}), then target scatters and propagates to receiver (Rβˆ’2R^{-2}), yielding Rβˆ’4R^{-4}.

This connection is central to ISAC (Ch 29-30): the same hardware must support both Rβˆ’2R^{-2} communication links and Rβˆ’4R^{-4} sensing links. The sensing link budget is always tighter.

See full treatment in Chapter 29

Key Takeaway

The radar equation establishes that received power scales as Rβˆ’4R^{-4} for monostatic radar, making detection range extremely sensitive to transmit power and antenna gain. For imaging, the radar equation determines the per-voxel SNR\text{SNR} in the forward model β€” it is the power budget behind y=Ac+w\mathbf{y} = \mathbf{A}\mathbf{c} + \mathbf{w}.