Fpga Implementation of Space-time Adaptive Processing (stap) Algorithm for Target Detection in Passive Radars
نویسندگان
چکیده
Abstract—Space-Time Adaptive Processing (STAP) algorithm has recently been used in Passive Bi-static Radars (PBR) because it removes the clutter and non-cooperative transmitter effectively making the target detection easy in harsh environments like air-ground. Realtime implementation of STAP is a very challenging task as it is computationally-intensive, time-critical and resource-hungry process. This paper focuses on the Field-Programmable Gate Array (FPGA) implementation of STAP algorithm for passive radar using FM radio as transmitter of opportunity. The signals of interest were collected using an eight-channel software-defined radar with a uniform circular array (UCA). The STAP processing was simulated using MATLAB and hardware implementation was carried out on a Xilinx Virtex-6 FPGA. The system is tested using experimental radar data. Timing and Power analysis of hardware implementation justifies that FPGA provides a fast and reliable platform for STAP real-time radar processing.
منابع مشابه
Target Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function
In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing...
متن کاملA Novel Method for Detecting Targets on Inactive Radars Using an Adaptive Processing on the Ambiguity Function (RESEARCH NOTE)
In this paper a novel method for detecting targets in inactive radars is presented. In this method, the time history of cellsof the ambiguity function is used for detection. For this purpose, the cell history is considered as a random field. Then, using adaptive filter, the string time of the desired target are separated from the string time of noise and clusters in the environment. In order to...
متن کاملAdaptive Thresholding in Marine RADARs
In order to detect targets upon sea surface or near it, marine radars should be capable of distinguishing signals of target reflections from the sea clutter. Our proposed method in this paper relates to detection of dissimilar marine targets in an inhomogeneous environment with clutter and non-stationary noises, and is based on adaptive thresholding determination methods. The variance and t...
متن کاملRobust radar detection of GMTI targets with STAP
Abstract: Space-Time Adaptive Processing (STAP) is used in Ground Moving Target Indication (GMTI) to improve the detection of slow or small targets and targets in the presence of jamming. It is used in a number of airborne radar surveillance systems. In order for STAP to be robustly used as part of a practical military sensor it must deliver robust detection performance in all scenarios. In thi...
متن کاملAdaptive Thresholding of the GIP Statistic to Remove Ground Target Returns from the Training Data for STAP Applications
This paper presents an adaptive thresholding algorithm that can be used in conjunction with the multi-pass GIP-based editing method to adaptively eliminate ground moving target returns ("non-homogeneities") from the training data used for space-time adaptive processing (STAP) applications, such as adaptive radars. The algorithm exploits a property of the generic structure of the ordered GIP sta...
متن کامل