Pulse Compression Ratio Calculator
Find a radar chirp's pulse compression ratio, compressed pulse width, and range resolution.
🌀 What is Pulse Compression Ratio?
Pulse compression ratio measures how much a radar or sonar system's transmitted pulse shrinks after matched filtering, and it is the key figure that lets these systems get the detection range of a long pulse with the fine range resolution of a short one. Instead of choosing between a long pulse (good energy, poor resolution) and a short pulse (poor energy, good resolution), pulse compression modulates a long pulse's frequency or phase so that its matched filter output collapses into a narrow, high-amplitude peak.
Air traffic control and weather radars use pulse compression (typically linear FM chirps) to achieve meter-scale range resolution while still transmitting enough total pulse energy to detect distant, weak targets. Automotive and military radars use phase-coded or chirped waveforms for the same reason, decoupling detection range from resolution so a single radar mode can do both. Sonar systems apply identical chirp or coded pulse techniques underwater, where acoustic attenuation makes maximizing transmitted energy per pulse especially valuable.
A common misconception is that pulse compression is a form of data compression or lossy signal reduction. It is neither, the full transmitted pulse energy is preserved and fully used for detection (matched filter output SNR depends only on that energy), while the range resolution improves purely because it now tracks the modulation bandwidth instead of the raw pulse duration.
This calculator computes the pulse compression ratio (time-bandwidth product) from your pulse duration and swept bandwidth, then reports the resulting compressed pulse width and range resolution alongside the original uncompressed resolution for direct comparison.
📐 Formula
📖 How to Use This Calculator
Steps
💡 Example Calculations
Example 1 — Weather Radar Chirp
T = 0.00001 s, B = 10,000,000 Hz
Example 2 — High-Resolution Automotive Radar
T = 0.000001 s, B = 50,000,000 Hz
Example 3 — Long-Range Surveillance Radar
T = 0.0001 s, B = 1,000,000 Hz
❓ Frequently Asked Questions
🔗 Related Calculators
What is pulse compression in radar?
Pulse compression is a radar technique that transmits a long, frequency- or phase-modulated pulse (carrying enough total energy for long-range detection) and then compresses its matched filter output into a much shorter effective pulse, achieving the fine range resolution of a short pulse without needing the very high peak transmit power a short pulse would require.
What is the pulse compression ratio formula?
Pulse compression ratio (PCR) equals the transmitted pulse's time-bandwidth product, PCR = T x B, where T is the uncompressed pulse duration and B is the swept (modulated) bandwidth. A 10 microsecond pulse swept over 10 MHz has a compression ratio of 100, meaning the compressed pulse is effectively 100 times shorter than the original.
How does pulse compression improve range resolution?
Range resolution after compression is Delta-R = c / (2B), determined entirely by the swept bandwidth B, not by the original (much longer) pulse duration T. This is the core benefit of pulse compression, a 10 microsecond pulse that would normally give 1,500 m resolution can instead deliver 15 m resolution if it is chirped across 10 MHz of bandwidth.
What is the compressed pulse width?
The compressed pulse width (the effective duration after matched filtering) is approximately tau_c = 1/B, the reciprocal of the swept bandwidth. This is the same width a simple unmodulated pulse of duration 1/B would have, which is why pulse compression is often described as giving a long pulse's energy with a short pulse's resolution.
What waveforms are used for pulse compression?
Linear frequency modulation (LFM, or chirp) is the most common pulse compression waveform, sweeping frequency linearly across the pulse. Phase-coded waveforms (Barker codes, polyphase codes, or pseudorandom binary sequences) achieve the same time-bandwidth product benefit using discrete phase shifts instead of continuous frequency sweep, often used in lower-power or spread-spectrum radar and sonar systems.
Does pulse compression change the radar's average transmit power?
No, the average transmit power depends on total pulse energy and pulse repetition rate, which pulse compression does not change, it only reshapes that same energy from a long, low peak-power pulse into an effectively much shorter, high peak-power pulse after processing. This lets a system with a lower peak-power transmitter still achieve long detection range while retaining fine resolution.
What are range sidelobes and why do they matter?
Range sidelobes are secondary peaks in a compressed pulse's matched filter output that appear alongside the main compressed peak, caused by the finite bandwidth and windowing of the transmitted waveform. High sidelobes can mask a weak nearby target next to a strong one, so real systems apply amplitude weighting (windowing) to the chirp or choose phase codes with inherently low sidelobes, at some cost to the ideal 1/B compressed width.
How large can the pulse compression ratio practically get?
Modern radar systems commonly use compression ratios from the hundreds to several thousand, limited mainly by the transmitter's ability to generate a clean, accurately modulated waveform over the required bandwidth and duration and by the receiver's dynamic range and processing capability, not by any fundamental physical limit on T x B itself.
How is pulse compression ratio expressed in decibels?
PCR in dB = 10*log10(T x B), and this dB figure also represents the matched filter processing gain the compressed pulse achieves over an unmodulated pulse of the same duration, directly improving detectable target SNR by that same amount.
How does this relate to matched filter output SNR?
Pulse compression preserves the full 2E/N0 output SNR benefit of the long transmitted pulse's total energy (see the Matched Filter Output SNR Calculator), while simultaneously delivering the fine range resolution of a much shorter pulse, decoupling the historical radar tradeoff between detection range (needing pulse energy) and range resolution (needing pulse bandwidth, not duration).