Long-time coherent accumulation algorithm based on acceleration blind estimation

Abstract

Aiming at the limitation of the coherent accumulation gain of the air defence missile active radar seeker, which is brought by a new generation of manoeuvrable stealth targets, this study proposes a long-time coherent accumulation algorithm based on the blind estimation of relative acceleration between missile and target, which is suitable for the pulse Doppler seeker. By extracting the relative acceleration information carried in the echo signal, the algorithm compensates the original echo signal phase, so that the compensated signal can be refocused in the frequency domain and the seeker detection capability to the large manoeuvring target can be improved. The simulation results show that the seeker sensitivity can be increased by 8 dB when the system false alarm probability is 0.99.

Keywords

• target tracking
• military radar
• military computing
• doppler radar
• probability
• radar tracking
• radar signal processing
• missiles
• echo
• long-time coherent accumulation algorithm
• pulse doppler seeker
• relative acceleration information
• original echo signal phase
• seeker detection capability
• manoeuvring target
• acceleration blind estimation
• coherent accumulation gain
• air defence missile active radar seeker
• manoeuvrable stealth targets
• noise figure 8.0 db