Research Of The Range Finding Algorithm On Tracking Radar

Compared with the traditional Pulse Radar, CW (Continuous Wave) radar wouldgain high precision by using simple architecture and algorithm. The emerging of theadvanced signal processing technique soars up the development of multiple frequencyCW radar. But it is pointed out that this kind of radar is of target identification. In thisthesis, a detailed analysis of the multiple frequency CW radar has been given incombination with the existing research results and the practical measurements from theshooting. The main tasks are illustrated as following:1. These existing ranging measurement algorithms of the CW radar are studied inthis thesis. Specifically, the quadratic phase difference algorithm of the CW radar iseasy, high ranging precision could be obtained, and it needs a few calculations.However, in this algorithm, different targets are identified by using the velocities.Several different targets with the same velocity are difficulty to identify accurately byusing this algorithm. On the other hand, the issue of ranging-velocity coupling couldbe settled via the2-Dimension FFT algorithm in the LFMCW (linear FrequencyModulation CW) radar, and which illustrates good ranging measurement performance,but it’s a tough algorithm and calculations, what’s more, the measurement error is large.There is a detailed comparison among these algorithms aforementioned above from theprecision and error of the ranging measurement in this thesis.2. The2-Dimension FFT algorithm of the LFMCW radar is applied to improvethe performances of the ranging measurement algorithm in the stepped frequency CWradar. By analyzing the simulation results, it is concluded that different targets with thesame velocity can be identified accurately. But its complexity increased and theprecision of ranging measurement become worse.3. After analyzing and comparing the merits and drawbacks of these existingmethods, a new ranging measurement algorithm of the CW radar, which is thecombination of the stepped-frequency and the quadratic phase difference algorithm, isproposed. The2-Dimension FFT algorithm and the quadratic phase differencealgorithm are included in this algorithm. At the same time, these ranging measurement performances of the algorithm are verified from the two aspects—the mean and theroot mean square.After these verifications of the simulations, it is concluded that this new algorithmcan identify different targets with the same/different velocity, and its calculations aregreatly reduced. The precision and error performances are similar to the quadraticphase difference algorithm. Compared with the regional ranging measurementalgorithm of the stepped-frequency radar, these performances are largely improved.