Coherent Track Before Detect: Detection via simultaneous trajectory estimation and long time integration
This work addresses the problem of detecting weak maneuvering targets in radar, which is critical for applications like surveillance and defense.
The paper proposes a coherent track-before-detect method for detecting low-SNR maneuvering objects in radar systems, enabling arbitrarily long coherent integration across CPIs. In simulations, it detects objects that conventional techniques cannot, even at very low SNR.
In this work, we consider the detection of manoeuvring small objects with radars. Such objects induce low signal to noise ratio (SNR) reflections in the received signal. We consider both co-located and separated transmitter/receiver pairs, i.e., mono-static and bi-static configurations, respectively, as well as multi-static settings involving both types. We propose coherent track before detect: A detection approach which is capable of coherently integrating these reflections within a coherent processing interval (CPI) in all these configurations and continuing integration for an arbitrarily long time across consecutive CPIs. {We estimate the complex value of the reflection coefficients for integration while simultaneously estimating the object trajectory. Compounded with these computations is the estimation of the unknown time reference shift of the separated transmitters necessary for coherent processing.} Detection is made by using the resulting integration value in a Neyman-Pearson test against a constant false alarm rate threshold. We demonstrate the efficacy of our approach in a simulation example with a very low SNR object which cannot be detected with conventional techniques.