2006 Annual IEEE India Conference最新文献_第7页

Distributed Diagnosis in Dynamic Fault Environment For Not-Completely Connected Network 非完全连通网络动态故障环境下的分布式诊断

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302749

P. M. Khilar, S. Mahapatra

引用次数: 5

Tracking of Heart Wall Motion using Unscented Kalman Filter 利用无气味卡尔曼滤波跟踪心壁运动

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302804

D. Hazarika, C. Mahanta, S. Dandapat

引用次数: 0

A Reduced Complexity hybrid switched mode detector using interference cancellation methods for DS-CDMA systems 一种基于干扰抵消方法的DS-CDMA系统低复杂度混合开关模式检测器

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302768

R. Agarwal, B. Reddy, K. K. Aggarwal

引用次数: 1

Bias Estimation of Multiple Radars by Quasi-Recursive Filtering 基于准递归滤波的多雷达偏置估计

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302778

K. Chittella, T. Garai, S. Mukhopadhyay

{"title":"Bias Estimation of Multiple Radars by Quasi-Recursive Filtering","authors":"K. Chittella, T. Garai, S. Mukhopadhyay","doi":"10.1109/INDCON.2006.302778","DOIUrl":"https://doi.org/10.1109/INDCON.2006.302778","url":null,"abstract":"This paper presents a method for estimating bias in radar measurements used in tracking aerospace targets. The bias-free and less noisy radar measurement is critical as it would provide correct information of target kinematics which is a necessity of the guidance law to generate the tracking commands. In a typical interception scenario, multiple radars are employed to detect and track target kinematics. Bias estimation is often difficult because of limited observability of sensor biases as there may not be a unique set of biases that explains the relative errors between measurements. The sensors involved may be dissimilar, and their corresponding bias parameters may differ in magnitude and type. The various sources of biases are sensor bias, alignment error (tilt error), and radar position uncertainty. Radar measurements are to be debiased and noise filtered effectively before they can be used singly or in conjunction with any onboard sensor for generating tracking commands. The formulation of bias estimator described here is designed for tracking systems, such as aircrafts, ships, with multiple sensors as radars, jam strobe detectors, GPS, ESM and wider variety of targets and sensors. The paper concisely states the algorithm which addresses the above mentioned problems and illustrates its performance capabilities through results obtained by applying it to a realistic ballistic target tracking scenario","PeriodicalId":122715,"journal":{"name":"2006 Annual IEEE India Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115921323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

VLSI Implementation of Low Power High Throughput Low Density Parity Check Code Decoder for Optical Communication 光通信用低功耗高吞吐量低密度奇偶校验码解码器的VLSI实现

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302827

Kaushik Vaidyanathan, Anusha Radhakrishnan, Valli Sounthariya Kumar, K. Kannan

引用次数: 0

An Effective Fusion Technique Based on Signal to Noise Ratio 一种基于信噪比的有效融合技术

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302759

N. Gopalan, K. Batri

引用次数: 0

Regularized Least Squares Potential SVRs 正则化最小二乘势svr

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302859

Senior Member, A. K. Deb, Reshma Khemchandani, Suresh Chandra

引用次数: 0

SWARM: Sensor driven Water and Agricultural Resources Management SWARM:传感器驱动的水资源和农业资源管理

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302766

C. Babu, N. Athmaraman, A. Ganesan, S. Soundararajan, R. Muthukumar

{"title":"SWARM: Sensor driven Water and Agricultural Resources Management","authors":"C. Babu, N. Athmaraman, A. Ganesan, S. Soundararajan, R. Muthukumar","doi":"10.1109/INDCON.2006.302766","DOIUrl":"https://doi.org/10.1109/INDCON.2006.302766","url":null,"abstract":"Efficiently managing the use of water and fertilizers has always been a major concern in agricultural practices. The scarcity of fresh water has been one of the motivating factors in developing efficient irrigation systems. Apart from the environmental concern in water management, it facilitates better growth of the crops. Fertilizers in low quantities can considerably retard crop growth and hence affect production. Synthetic fertilizers in high quantities pollute the soil and render ground water unsuitable for consumption. Measuring the nutrient availability in real time and properly delivering the right amount of the nutrients at the appropriate time can be immensely useful. The primary objective of SWARM is to remotely monitor the water and nutrient availability and deliver the corresponding resources dynamically in accordance with the data collected. The SWARM system was implemented at a farm measuring 250 ft times 80 ft in Kuppam, Andhra Pradesh, India. Groundnut is being cultivated in the farm. It was tested for a period of around one and a half months and results have been provided. The system has shown promising results when compared to manually supplying water and fertilizers. The SWARM software was written in the Javatrade programming language","PeriodicalId":122715,"journal":{"name":"2006 Annual IEEE India Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Non-linear State Estimation for Continuous Stirred Tank Reactor using Neural Network State Filter 基于神经网络状态滤波器的连续搅拌槽式反应器非线性状态估计

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302760

K. Srinivasan, J. Prakash

引用次数: 12

Test Vector Ordering For Power Reduction During Transmission of Compressed Test Patterns To Embedded System-On-Chip 压缩测试模式向嵌入式片上系统传输时降低功耗的测试向量排序

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI: 10.1109/INDCON.2006.302782

C. Giri, N. Reddy Cheruku, S. Chattopadhyay

引用次数: 0