Research On Signal Processing For Short-Range Narrow Field Of View LFMCW Radar

Under limited observation baseline and without scanning beam, the ability for distinguishing multiple independent moving targets, parameters estimation, target tracking in the short-range narrow field of view (FOV), are not only urgent in the theory of radar detection, but also difficult in the application of the through-wall surveillance (TWS) and the anti-collision radar.The thesis proposed a radar mechanism adopting linear frequency-modulated continuous wave (LFMCW) and multi-transmitter and multi-receiver, took advantage of the simple structure, none range blind zone and high resolution in short range of LFMCW radar, avoided antenna scanning and realized high-resolution detection and precise orientation. Moreover, this thesis focused on the theory of signal processing and the method for implementing. The main content is listed as:1) The target locating principle and locating precision in the Multi transmitter and multi receiver LFMCW radar are studied. And the radar parameter and system are designed. The optimum detection model of moving target including velocity and acceleration, under the condition of Gaussian white noise, is proposed.2) The 1-D range profiles motion compensation algorithm is discussed in the simple and complicated target environment in LFMCW radar.3) The acceleration ambiguity function in LFMCW radar is proposed in the thesis first time, meanwile, the formula of acceleration resolution and the optimal accumulation time of LFM signal is presentened4) Three methods for accelerately moving target detection (MTD) and parameter estimation: they are a new distribution named time-frequency rate distribution, the fast algorithm based on maximum likelihood model and FRFT algorithm, and based on a these methods, the detection and parameter estimation algorithm for LFM signal are proposed.5) An algorithm for multi-target tracking in the short-range and narrow field view radar is proposed. It is available to track multiple targets even in the strong clutter and small distance from targets environments.