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High resolution radar system usually has a massive amount of raw data, so we have to carry out data fusion as quickly as possible. In this paper, we propose a fast clustering algorithm based on single dimensional distance calculation. The proposed algorithm divides raw data into subsets by single dimensional distance, and then merges subsets according to single dimensional distance and set-density...
Azimuth target separation is of crucial importance in many applications of radar. The azimuth resolution is determined by the antenna beamwidth. However, in practice, standard signal processing techniques require the distance between targets to be more than one resolution cell. This can prove inadequate for several relevant applications. In this paper the problem of improving the azimuth resolution...
Detection in most surveillance radars is based on the condition of point targets against a more or less homogeneous background. Currently, the resolution of many new types of radar is increasing, at least in the range dimension. Therefore many objects no longer can be considered as points. Also as a consequence, the background is getting more diverse, in statistical terms. The scene addressed in this...
In this paper we propose a new automatic target recognition algorithm to recognize and distinguish of three classes of targets: personnel, wheeled vehicles and animals, using a low-resolution ground surveillance pulse Doppler radar. Using the chirplet transformation, a time-frequency signal processing technique, the parameterized radar signal is then used by the Zernike moments (ZM) for the pertinent...
Multiscan data association can significantly enhance tracking performance in critical radar surveillance scenarios involving multiple targets, low detection probability, high false alarm probability, evasive target maneuvers and finite radar resolution. Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with...
This paper illustrates a new algorithm for noncoherent integration and ambiguity resolution in medium PRF wave-forms. Range and Doppler ambiguity resolution is one of the main issues in Medium PRF radars [1,2,3]; it will be shown that the proposed algorithm provides range and Doppler ambiguities resolution as an inherent feature while maximizing detection probability with respect to conventional binary...
In modern surveillance radar, pulse compression is applied to achieve long range coverage while maintaining both low transmit peak power and desired range resolution. When there is a requirement to increase the radarpsilas range without a corresponding increase in the transmitted peak power it is required that a longer uncompressed pulse be used. As a consequence the blind range, associated with blanking...
It has recently been found that by jointly processing multiple (sum, azimuth-, and elevation-difference) matched filter samples, it is possible to extract and localize several (more than two) targets spaced more closely than the classical interpretation of radar resolution. This paper derives the Cramer-Rao lower bound (CRLB) for sampled monopulse radar data. It is worthwhile to know the limits of...
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