No abstract

Identity styles and Eriksonian psychosocial balance were examined in young adults (N = 163; 64.4% women) and middle-aged adults (N = 132; 51.5% women). Participants completed self-report measures of identity styles (informational, normative, and diffuseavoidant), identity commitment, and psychosocial balance (identity, intimacy, and generativity). Different patterns of psychosocial balance were found for each identity style, with largely consistent findings across age groups. The diffuse-avoidant style was negatively associated with all forms of psychosocial balance, the normative style was positively associated with identity and intimacy balance, and the informational style was positively associated with intimacy and generativity. Structural equation modeling revealed that identity balance predicted both intimacy and generativity for the diffuse-avoidant style (negative prediction) and normative style (positive prediction), whereas the informational style provided direct positive prediction of intimacy and generativity. The importance of an informational identity style for psychosocial balance during both early and middle adulthood is discussed.

A receiver autonomous integrity monitoring @AIM) algorithm is proposed, and used to analyze the integrity monitoring capabilities of potential sole-means (or stand-alone) systems based on integrated use of GPS and GLONASS, GPS supplemented with a geostationary overlay, and enhanced GPS constellations. As in the other RAIM algorithms, the idea is to take advantage of the redundant measurements. Our focus, however, is on the quality of the position estimate, rather than on diagnosing whether the system is working as intended.The proposed approach uses the redundant measurements to generate a position estimate and a measure of its quality. The latter, called integrity level, is defined as an upper bound on the position error. The estimation of the integrity level is the main innovation in the proposed scheme. The RAIM algorithm is tailored to an abundant redundancy of the measurements, and addresses the following issue: Given a snapshot of the pseudorange measurements, one of which may be in error, can we compute a position estimate that can be shown with high confidence to meet the user's accuracy requirement?

A satellite navigation data collection and analysis facility, comprising GPS and GLONASS receivers and the supporting computer systems, has been established at Lincoln Laboratory under the sponsorship of the Federal Aviation Administration. In this paper, we present results based on an analysis of the measurements from GLONASS collected at this facility over a 6 month period (FebruaryJuly 1991). While our main interest is in the positioning results obtained from GLO-NASS, we also examine some important issues related to the system operations. The findings are generally consistent with the technical data provided by the Soviets. The GLONASS positioning results are comparable to those provided by the GPS Standard Positioning Service (SPS) when the Selective Availability (SA) feature of the latter is off. When the GPS signal is degraded via SA, the GLONASS position estimates will clearly be better. Of course, the positioning accuracy reflects directly on the quality of the system upkeep and control. We have analyzed the navigation messages in order to understand the nominal patterns of data uploads, changes in parameter values at uploads, and the handling of system anomalies. We discuss these findings and identify some issues requiring further clarification.