Use positive values for power, wavelength, radar cross-section, and minimum detectable signal.
Loss in decibels can be zero or negative to represent system gain.
Radar systems emit electromagnetic waves that reflect off objects and return to the receiver. The ability to detect a target depends on the transmitter power, antenna gain, the target's radar cross-section (RCS), operating wavelength, and the sensitivity of the receiver. Losses in cabling or the atmosphere also reduce performance. The basic radar range equation describes the maximum distance at which a target can be detected:
This equation reveals that range increases with transmitter power, antenna gain, and target size, but decreases with losses and the minimum detectable signal threshold. Operating at longer wavelengths also extends range because longer waves spread less rapidly.
The transmitter power is measured in watts. Antenna gain is often specified in decibels relative to an isotropic radiator, or dBi. To use it in the equation, we convert the value to a linear scale. The wavelength is usually computed from frequency using , where is the speed of light. Radar cross-section represents how strongly the target reflects radar energy. System losses L combine factors such as feedline attenuation, radome absorption, and receiver inefficiency, also converted from dB to a linear ratio.
Imagine a weather radar transmitting 100 kilowatts of peak power through an antenna with 35 dBi gain at a wavelength of 10 centimeters. A storm cell might present an RCS of 1 square meter. If the radar receiver can detect signals as weak as 10-13 W and total system losses amount to 3 dB, the radar equation predicts a maximum detection range of roughly 135 kilometers. This example shows how modest improvements in antenna gain or receiver sensitivity can dramatically increase range.
The radar equation stems from the inverse-square law for wave propagation and the concept of antenna gain. As electromagnetic waves spread out in space, their intensity diminishes with the square of distance. When those waves strike a target, only a portion is reflected. The returning echo again spreads out, so the power received falls off with the fourth power of range. Antenna gain concentrates energy in a narrow beam, effectively boosting the intensity both on transmission and reception. Expressed mathematically, this leads to the product of gains squared in the numerator.
Real radar installations suffer from multiple sources of loss: imperfect waveguides, mismatched impedance, polarization errors, and atmospheric absorption to name just a few. To keep the equation manageable, these factors are lumped into a single dimensionless loss term L. In decibel form this is often easier to interpret—for example, a 3 dB loss corresponds to approximately half the signal power. Minimizing these losses by using quality components and proper installation can significantly improve detection range.
Estimating range is crucial for radar operators across many fields. Air traffic control uses range calculations to space aircraft safely. Weather radars predict storm movement by monitoring echoes over hundreds of kilometers. Military radars rely on accurate range forecasts to track missiles and aircraft. In the maritime world, range prediction helps ships avoid collisions and navigate safely in poor visibility. Even automotive radar for self-driving cars employs the same basic principles to assess detection limits.
Type | Power (kW) | Gain (dBi) | Wavelength (cm) |
---|---|---|---|
Weather Radar | 100 | 35 | 10 |
Air Traffic Control | 25 | 30 | 5 |
Ship Radar | 10 | 25 | 3 |
Automotive Radar | 0.01 | 15 | 0.4 |
Enter each value in the form above. The antenna gain and system loss fields expect decibels, which the script converts to linear ratios internally. After clicking the button, the JavaScript computes the fourth-root expression of the radar equation and displays the range in meters and kilometers. Because all processing happens in your browser, you can adjust parameters freely to see how changes in power or wavelength affect detection distance without sending any data to a server.
The simple radar equation assumes the target reflects energy isotropically and that the environment is free from interference or clutter. Real-world conditions such as terrain, precipitation, and multipath reflections complicate matters. Additionally, the equation models peak power for pulsed radar, while average power may be far lower. Nonetheless, the calculation offers valuable insight into how design choices influence range and sets expectations for system performance.
Whether you are building a small marine radar or studying the operation of long-range surveillance systems, understanding how power, antenna characteristics, and receiver sensitivity interact is key. This calculator implements the classic radar range formula so you can explore that interplay quickly. By experimenting with different values, you will gain intuition about the trade-offs engineers face when designing radar to peer ever farther into the distance.