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A new airborne MTI scheme that applies to non-homogeneous clutter environment is presented. Results of simulation have proved that the scheme has a superior ground clutter suppression performance and can effectively prevent the whitening of a target.

A method for evaluating the robustness of constant false alarm rate (CFAR) detectors is presented, which is based on the powerful methodology of influence function (IF) developed in the literature on robust statistics. It can evaluate and compare the robustness of different kinds of CFAR detectors by calculating the first derivative of false alarm probability (FAP) at an underlying distribution, which is named FAP-IF. The FAP-IF of cell averaging (CA) and ordered statistics (OS) CFAR detectors are presented. The computational simulation of radar detection in exponential clutter is also presented to prove the theoretical result.

In order to improve the clearness of images captured at night, a new enhancement algorithm is proposed in this paper. Its characters are: (1) enhancing the dark image with contrast enhancement and histogram equalization in series, so both the local and global information can be used; (2) a contrast transforming function which is suited to deal with dark image is proposed; (3) it can be realized in real time. The new method shows good performance in dealing with night vision images.

Conventional tracking radars are often embarrassed when targets being tracked are flying at low altitude over a flat surface. The basic idea for conventional low-angle tracking techniques is to avert the multipath interference by shielding the antenna from the surface reflection or by eliminating the reflection component from the received signal. This is the most direct way to deal with the well-known multipath effect. A new algorithm using a different idea is presented, with which the signal from the reflecting surface can be used to enhance that directly from the target, resulting in extended accuracy, applicability and efficiency. The estimation of the target elevation angle is expressed as the geometric mean of the target and its image's angles relative to the boresight axis. Implementation of the algorithm is quite simple.

In this paper, the leading characters, parallelism, programmability, scalability and reconfigurability of next generation high speed real-time radar signal processing systems are discussed in detail. Important design issues are studied. An experimental system underway is introduced.

Moving target detection (MTD) is a high-performance signal processing approach for pulse Doppler radar. High-performance radar calls for sliding MTD (SMTD). Traditional SMTD processing massively increases computational load, resulting in difficulty of implementation. A modified moving DFT algorithm and a new SMTD structure are proposed in this paper. The new SMTD structure adopts both batch-mode signal channel estimation and the modified moving DFT algorithm, which leads to a dramatic reduction of the computational load. The new SMTD structure can be regarded as an adaptive filter for other applications as well.

In this paper, the leading characters, parallelism, programmability, scalability and reconfigurability of next generation high speed real-time radar signal processing systems are discussed in detail. An experimental system underway is introduced.