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Abstract-Design and implementation of an IIR filter based Moving Target Indication (MTI) processor is presented. IIR filters offer an advantage compared to FIR filters in terms of hardware resources but are prone to problems in implementation. These are variable overflows and accumulating error. This results in a need for calculation of range and error bounds for the filter variables. This paper presents a method for dealing with these issues and proposes a time shared architecture for the processor. The design is implemented on a Virtex-4SX35 device on the Xilinx Xtreme DSP kit. The processor is tested using unprocessed baseband data from a working TA-10K air traffic control radar.

In recent years, activity recognition and object tracking are receiving extensive attention due to the increasing demand for adaptable surveillance systems. Activity recognition is guided by the parameters such as the shape, size, and color of the object. This article purposes an examination of the performance of existing color-based object detection and tracking algorithms using thermal/visual camera-based video steaming in MATLAB. A framework is developed to detect and track red moving objects in real time. Detection is carried out based on the location information acquired from an adaptive image processing algorithm. Coordinate extraction is followed by tracking and locking the object with the help of a laser barrel. The movement of the laser barrel is controlled with the help of an 8051 microcontroller. Location information is communicated from the image-processing algorithm to the microcontroller serially. During implementation, a single static camera is used that provides 30 frames per second. For each frame, 88 ms are required to complete all three steps from detection to tracking, to locking, so a processing speed of 12 frames per second is implemented. This repetition makes the setup adaptive to the environment despite the presence of a single static camera. This setup can handle multiple objects with shades of red and has demonstrated equally good results in varying outdoor conditions. Currently, the setup can lock only single targets, but the capacity of the system can be increased with the installation of multiple cameras and laser barrels.