Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar

The airborne or spaceborne early warning radar faces great challenges of detecting and tracking weak moving targets with signal fluctuations. An adaptive detector is proposed to improve the detection performance by jointly processing the space-time data sets received by multistatic multiple-input multiple-output (MIMO) radar, and fusing the measurement vectors information. Monte-Carlo simulations demonstrate that the proposed detector can implement early detection of weak moving targets with the target detection probability 0.5 and the false alarm probability 10^-1 under the condition of 5dB signal-to-noise ratio.